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What Is Problem Solving? How Software Engineers Approach Complex Challenges

From debugging an existing system to designing an entirely new software application, a day in the life of a software engineer is filled with various challenges and complexities. The one skill that glues these disparate tasks together and makes them manageable? Problem solving . 

Throughout this blog post, we’ll explore why problem-solving skills are so critical for software engineers, delve into the techniques they use to address complex challenges, and discuss how hiring managers can identify these skills during the hiring process. 

What Is Problem Solving?

But what exactly is problem solving in the context of software engineering? How does it work, and why is it so important?

Problem solving, in the simplest terms, is the process of identifying a problem, analyzing it, and finding the most effective solution to overcome it. For software engineers, this process is deeply embedded in their daily workflow. It could be something as simple as figuring out why a piece of code isn’t working as expected, or something as complex as designing the architecture for a new software system. 

In a world where technology is evolving at a blistering pace, the complexity and volume of problems that software engineers face are also growing. As such, the ability to tackle these issues head-on and find innovative solutions is not only a handy skill — it’s a necessity. 

The Importance of Problem-Solving Skills for Software Engineers

Problem-solving isn’t just another ability that software engineers pull out of their toolkits when they encounter a bug or a system failure. It’s a constant, ongoing process that’s intrinsic to every aspect of their work. Let’s break down why this skill is so critical.

Driving Development Forward

Without problem solving, software development would hit a standstill. Every new feature, every optimization, and every bug fix is a problem that needs solving. Whether it’s a performance issue that needs diagnosing or a user interface that needs improving, the capacity to tackle and solve these problems is what keeps the wheels of development turning.

It’s estimated that 60% of software development lifecycle costs are related to maintenance tasks, including debugging and problem solving. This highlights how pivotal this skill is to the everyday functioning and advancement of software systems.

Innovation and Optimization

The importance of problem solving isn’t confined to reactive scenarios; it also plays a major role in proactive, innovative initiatives . Software engineers often need to think outside the box to come up with creative solutions, whether it’s optimizing an algorithm to run faster or designing a new feature to meet customer needs. These are all forms of problem solving.

Consider the development of the modern smartphone. It wasn’t born out of a pre-existing issue but was a solution to a problem people didn’t realize they had — a device that combined communication, entertainment, and productivity into one handheld tool.

Increasing Efficiency and Productivity

Good problem-solving skills can save a lot of time and resources. Effective problem-solvers are adept at dissecting an issue to understand its root cause, thus reducing the time spent on trial and error. This efficiency means projects move faster, releases happen sooner, and businesses stay ahead of their competition.

Improving Software Quality

Problem solving also plays a significant role in enhancing the quality of the end product. By tackling the root causes of bugs and system failures, software engineers can deliver reliable, high-performing software. This is critical because, according to the Consortium for Information and Software Quality, poor quality software in the U.S. in 2022 cost at least $2.41 trillion in operational issues, wasted developer time, and other related problems.

Problem-Solving Techniques in Software Engineering

So how do software engineers go about tackling these complex challenges? Let’s explore some of the key problem-solving techniques, theories, and processes they commonly use.

Decomposition

Breaking down a problem into smaller, manageable parts is one of the first steps in the problem-solving process. It’s like dealing with a complicated puzzle. You don’t try to solve it all at once. Instead, you separate the pieces, group them based on similarities, and then start working on the smaller sets. This method allows software engineers to handle complex issues without being overwhelmed and makes it easier to identify where things might be going wrong.

Abstraction

In the realm of software engineering, abstraction means focusing on the necessary information only and ignoring irrelevant details. It is a way of simplifying complex systems to make them easier to understand and manage. For instance, a software engineer might ignore the details of how a database works to focus on the information it holds and how to retrieve or modify that information.

Algorithmic Thinking

At its core, software engineering is about creating algorithms — step-by-step procedures to solve a problem or accomplish a goal. Algorithmic thinking involves conceiving and expressing these procedures clearly and accurately and viewing every problem through an algorithmic lens. A well-designed algorithm not only solves the problem at hand but also does so efficiently, saving computational resources.

Parallel Thinking

Parallel thinking is a structured process where team members think in the same direction at the same time, allowing for more organized discussion and collaboration. It’s an approach popularized by Edward de Bono with the “ Six Thinking Hats ” technique, where each “hat” represents a different style of thinking.

In the context of software engineering, parallel thinking can be highly effective for problem solving. For instance, when dealing with a complex issue, the team can use the “White Hat” to focus solely on the data and facts about the problem, then the “Black Hat” to consider potential problems with a proposed solution, and so on. This structured approach can lead to more comprehensive analysis and more effective solutions, and it ensures that everyone’s perspectives are considered.

This is the process of identifying and fixing errors in code . Debugging involves carefully reviewing the code, reproducing and analyzing the error, and then making necessary modifications to rectify the problem. It’s a key part of maintaining and improving software quality.

Testing and Validation

Testing is an essential part of problem solving in software engineering. Engineers use a variety of tests to verify that their code works as expected and to uncover any potential issues. These range from unit tests that check individual components of the code to integration tests that ensure the pieces work well together. Validation, on the other hand, ensures that the solution not only works but also fulfills the intended requirements and objectives.

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Evaluating Problem-Solving Skills

We’ve examined the importance of problem-solving in the work of a software engineer and explored various techniques software engineers employ to approach complex challenges. Now, let’s delve into how hiring teams can identify and evaluate problem-solving skills during the hiring process.

Recognizing Problem-Solving Skills in Candidates

How can you tell if a candidate is a good problem solver? Look for these indicators:

• Previous Experience: A history of dealing with complex, challenging projects is often a good sign. Ask the candidate to discuss a difficult problem they faced in a previous role and how they solved it.
• Problem-Solving Questions: During interviews, pose hypothetical scenarios or present real problems your company has faced. Ask candidates to explain how they would tackle these issues. You’re not just looking for a correct solution but the thought process that led them there.
• Technical Tests: Coding challenges and other technical tests can provide insight into a candidate’s problem-solving abilities. Consider leveraging a platform for assessing these skills in a realistic, job-related context.

Assessing Problem-Solving Skills

Once you’ve identified potential problem solvers, here are a few ways you can assess their skills:

• Solution Effectiveness: Did the candidate solve the problem? How efficient and effective is their solution?
• Approach and Process: Go beyond whether or not they solved the problem and examine how they arrived at their solution. Did they break the problem down into manageable parts? Did they consider different perspectives and possibilities?
• Communication: A good problem solver can explain their thought process clearly. Can the candidate effectively communicate how they arrived at their solution and why they chose it?
• Adaptability: Problem-solving often involves a degree of trial and error. How does the candidate handle roadblocks? Do they adapt their approach based on new information or feedback?

Hiring managers play a crucial role in identifying and fostering problem-solving skills within their teams. By focusing on these abilities during the hiring process, companies can build teams that are more capable, innovative, and resilient.

Key Takeaways

As you can see, problem solving plays a pivotal role in software engineering. Far from being an occasional requirement, it is the lifeblood that drives development forward, catalyzes innovation, and delivers of quality software. 

By leveraging problem-solving techniques, software engineers employ a powerful suite of strategies to overcome complex challenges. But mastering these techniques isn’t simple feat. It requires a learning mindset, regular practice, collaboration, reflective thinking, resilience, and a commitment to staying updated with industry trends. 

For hiring managers and team leads, recognizing these skills and fostering a culture that values and nurtures problem solving is key. It’s this emphasis on problem solving that can differentiate an average team from a high-performing one and an ordinary product from an industry-leading one.

At the end of the day, software engineering is fundamentally about solving problems — problems that matter to businesses, to users, and to the wider society. And it’s the proficient problem solvers who stand at the forefront of this dynamic field, turning challenges into opportunities, and ideas into reality.

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How to think like a programmer — lessons in problem solving

by Richard Reis

If you’re interested in programming, you may well have seen this quote before:

“Everyone in this country should learn to program a computer, because it teaches you to think.” — Steve Jobs

You probably also wondered what does it mean, exactly, to think like a programmer? And how do you do it??

Essentially, it’s all about a more effective way for problem solving .

In this post, my goal is to teach you that way.

By the end of it, you’ll know exactly what steps to take to be a better problem-solver.

Why is this important?

Problem solving is the meta-skill.

We all have problems. Big and small. How we deal with them is sometimes, well…pretty random.

Unless you have a system, this is probably how you “solve” problems (which is what I did when I started coding):

• Try a solution.
• If that doesn’t work, try another one.
• If that doesn’t work, repeat step 2 until you luck out.

Look, sometimes you luck out. But that is the worst way to solve problems! And it’s a huge, huge waste of time.

The best way involves a) having a framework and b) practicing it.

“Almost all employers prioritize problem-solving skills first.

Problem-solving skills are almost unanimously the most important qualification that employers look for….more than programming languages proficiency, debugging, and system design.

Demonstrating computational thinking or the ability to break down large, complex problems is just as valuable (if not more so) than the baseline technical skills required for a job.” — Hacker Rank ( 2018 Developer Skills Report )

Have a framework

To find the right framework, I followed the advice in Tim Ferriss’ book on learning, “ The 4-Hour Chef ”.

It led me to interview two really impressive people: C. Jordan Ball (ranked 1st or 2nd out of 65,000+ users on Coderbyte ), and V. Anton Spraul (author of the book “ Think Like a Programmer: An Introduction to Creative Problem Solving ”).

I asked them the same questions, and guess what? Their answers were pretty similar!

Soon, you too will know them.

Sidenote: this doesn’t mean they did everything the same way. Everyone is different. You’ll be different. But if you start with principles we all agree are good, you’ll get a lot further a lot quicker.

“The biggest mistake I see new programmers make is focusing on learning syntax instead of learning how to solve problems.” — V. Anton Spraul

So, what should you do when you encounter a new problem?

Here are the steps:

1. Understand

Know exactly what is being asked. Most hard problems are hard because you don’t understand them (hence why this is the first step).

How to know when you understand a problem? When you can explain it in plain English.

Do you remember being stuck on a problem, you start explaining it, and you instantly see holes in the logic you didn’t see before?

Most programmers know this feeling.

This is why you should write down your problem, doodle a diagram, or tell someone else about it (or thing… some people use a rubber duck ).

“If you can’t explain something in simple terms, you don’t understand it.” — Richard Feynman

Don’t dive right into solving without a plan (and somehow hope you can muddle your way through). Plan your solution!

Nothing can help you if you can’t write down the exact steps.

In programming, this means don’t start hacking straight away. Give your brain time to analyze the problem and process the information.

To get a good plan, answer this question:

“Given input X, what are the steps necessary to return output Y?”

Sidenote: Programmers have a great tool to help them with this… Comments!

Pay attention. This is the most important step of all.

Do not try to solve one big problem. You will cry.

Instead, break it into sub-problems. These sub-problems are much easier to solve.

Then, solve each sub-problem one by one. Begin with the simplest. Simplest means you know the answer (or are closer to that answer).

After that, simplest means this sub-problem being solved doesn’t depend on others being solved.

Once you solved every sub-problem, connect the dots.

Connecting all your “sub-solutions” will give you the solution to the original problem. Congratulations!

This technique is a cornerstone of problem-solving. Remember it (read this step again, if you must).

“If I could teach every beginning programmer one problem-solving skill, it would be the ‘reduce the problem technique.’

For example, suppose you’re a new programmer and you’re asked to write a program that reads ten numbers and figures out which number is the third highest. For a brand-new programmer, that can be a tough assignment, even though it only requires basic programming syntax.

If you’re stuck, you should reduce the problem to something simpler. Instead of the third-highest number, what about finding the highest overall? Still too tough? What about finding the largest of just three numbers? Or the larger of two?

Reduce the problem to the point where you know how to solve it and write the solution. Then expand the problem slightly and rewrite the solution to match, and keep going until you are back where you started.” — V. Anton Spraul

By now, you’re probably sitting there thinking “Hey Richard... That’s cool and all, but what if I’m stuck and can’t even solve a sub-problem??”

First off, take a deep breath. Second, that’s fair.

Don’t worry though, friend. This happens to everyone!

The difference is the best programmers/problem-solvers are more curious about bugs/errors than irritated.

In fact, here are three things to try when facing a whammy:

• Debug: Go step by step through your solution trying to find where you went wrong. Programmers call this debugging (in fact, this is all a debugger does).

“The art of debugging is figuring out what you really told your program to do rather than what you thought you told it to do.”” — Andrew Singer

• Reassess: Take a step back. Look at the problem from another perspective. Is there anything that can be abstracted to a more general approach?

“Sometimes we get so lost in the details of a problem that we overlook general principles that would solve the problem at a more general level. […]

The classic example of this, of course, is the summation of a long list of consecutive integers, 1 + 2 + 3 + … + n, which a very young Gauss quickly recognized was simply n(n+1)/2, thus avoiding the effort of having to do the addition.” — C. Jordan Ball

Sidenote: Another way of reassessing is starting anew. Delete everything and begin again with fresh eyes. I’m serious. You’ll be dumbfounded at how effective this is.

• Research: Ahh, good ol’ Google. You read that right. No matter what problem you have, someone has probably solved it. Find that person/ solution. In fact, do this even if you solved the problem! (You can learn a lot from other people’s solutions).

Caveat: Don’t look for a solution to the big problem. Only look for solutions to sub-problems. Why? Because unless you struggle (even a little bit), you won’t learn anything. If you don’t learn anything, you wasted your time.

Don’t expect to be great after just one week. If you want to be a good problem-solver, solve a lot of problems!

Practice. Practice. Practice. It’ll only be a matter of time before you recognize that “this problem could easily be solved with <insert concept here>.”

How to practice? There are options out the wazoo!

Chess puzzles, math problems, Sudoku, Go, Monopoly, video-games, cryptokitties, bla… bla… bla….

In fact, a common pattern amongst successful people is their habit of practicing “micro problem-solving.” For example, Peter Thiel plays chess, and Elon Musk plays video-games.

“Byron Reeves said ‘If you want to see what business leadership may look like in three to five years, look at what’s happening in online games.’

Fast-forward to today. Elon [Musk], Reid [Hoffman], Mark Zuckerberg and many others say that games have been foundational to their success in building their companies.” — Mary Meeker ( 2017 internet trends report )

Does this mean you should just play video-games? Not at all.

But what are video-games all about? That’s right, problem-solving!

So, what you should do is find an outlet to practice. Something that allows you to solve many micro-problems (ideally, something you enjoy).

For example, I enjoy coding challenges. Every day, I try to solve at least one challenge (usually on Coderbyte ).

Like I said, all problems share similar patterns.

That’s all folks!

Now, you know better what it means to “think like a programmer.”

You also know that problem-solving is an incredible skill to cultivate (the meta-skill).

As if that wasn’t enough, notice how you also know what to do to practice your problem-solving skills!

Phew… Pretty cool right?

Finally, I wish you encounter many problems.

You read that right. At least now you know how to solve them! (also, you’ll learn that with every solution, you improve).

“Just when you think you’ve successfully navigated one obstacle, another emerges. But that’s what keeps life interesting.[…]

Life is a process of breaking through these impediments — a series of fortified lines that we must break through.

Each time, you’ll learn something.

Each time, you’ll develop strength, wisdom, and perspective.

Each time, a little more of the competition falls away. Until all that is left is you: the best version of you.” — Ryan Holiday ( The Obstacle is the Way )

Now, go solve some problems!

And best of luck ?

Special thanks to C. Jordan Ball and V. Anton Spraul . All the good advice here came from them.

Thanks for reading! If you enjoyed it, test how many times can you hit in 5 seconds. It’s great cardio for your fingers AND will help other people see the story.

If this article was helpful, share it .

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• Understanding the Problem

Problem Solving

Today, we use computers in every field for various purposes. But, we know that they cannot solve the problems all by themselves. Furthermore, we have to give step by step instructions to the computer for solving the problem. We can define problem-solving as a process of understanding the problem, designing an algorithm for it, and finally implementing the solution to it.

Therefore, we can say that a successful problem-solving process depends on the following factors:

• understanding the problem and defining it precisely.
• designing a proper algorithm (solution) for it.
• implementing the algorithm successfully.

When the problems are easy we can easily search out a solution. Whereas, complex problems require step by step process to solve. Hence, this means that we have to apply problem-solving techniques to solve the problem. Furthermore, this starts with finding a precise definition of the problem and ends with a successful solution. Here, we will study understanding the problem in detail.

Browse more Topics Under Problem Solving Methodologies

• Solution for the Problem
• Breaking Down Solution into Simple Steps
• Identification of Arithmetic and Logical Operations
• Control Structure
• Introduction to Algorithms/Flowcharts

It is very obvious that before finding the solution we should understand the problem well. Moreover, if we fail to understand the problem we may end up with a useless solution for it. Hence, a wrong solution will not solve our purpose of problem-solving. Therefore, we need to read the problem carefully and decide the different functions which the solution will contain.

Moreover, we need to understand that what is the required output and how we can generate it. Besides, for proper output, we surely need an input. The input can be single or multiple as per the problem. Hence, it is quite important to maintain the necessary relationship between the input and the output.

Furthermore, we need to keep in mind that there should be all the number of inputs required to produce the output. At the same time, the programmer should make sure that the number of inputs should be limited. Moreover, any irrelevant input will result in consuming more space and time. Hence, unnecessary inputs should be avoided. Therefore, we can say that spotting the minimum number of input for the correct output is an important point in understanding the problem.

Important points in Understanding the Problem

Some of the important points that we should keep in mind while understanding the problem are as follows:

• Read the problem very carefully.
• Identify the functions that the solution (algorithm) should have.
• Identify the required output.
• Find a way to produce the required output.
• Draw a proper relationship between the input and output.
• Take all the necessary number of inputs.
• Avoid unnecessary inputs.
• Identify the correct number of the required input.

Further steps in problem-solving

After understanding the problem, the further steps are as follows:

Designing an algorithm

After understanding the relationship between input and output and the functionalities required we have to design an algorithm. Furthermore, the algorithm should contain all the necessary functions to solve the problem. Moreover, it should produce a proper output for every input.

Implementing the algorithm

After designing the algorithm we should implement and design a program to solve the problem. We can develop the program using any programming language.

After developing the program we should run and test if it produces the correct output.

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Problem Solving Methodologies

• Introduction to Algorithms and Flowcharts
• Control Structures
• Identification of Arithmetic and Logical Operations Required for Solution

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Exploring the Problem Solving Cycle in Computer Science – Strategies, Techniques, and Tools

• Post author By bicycle-u
• Post date 08.12.2023

The world of computer science is built on the foundation of problem solving. Whether it’s finding a solution to a complex algorithm or analyzing data to make informed decisions, the problem solving cycle is at the core of every computer science endeavor.

At its essence, problem solving in computer science involves breaking down a complex problem into smaller, more manageable parts. This allows for a systematic approach to finding a solution by analyzing each part individually. The process typically starts with gathering and understanding the data or information related to the problem at hand.

Once the data is collected, computer scientists use various techniques and algorithms to analyze and explore possible solutions. This involves evaluating different approaches and considering factors such as efficiency, accuracy, and scalability. During this analysis phase, it is crucial to think critically and creatively to come up with innovative solutions.

After a thorough analysis, the next step in the problem solving cycle is designing and implementing a solution. This involves creating a detailed plan of action, selecting the appropriate tools and technologies, and writing the necessary code to bring the solution to life. Attention to detail and precision are key in this stage to ensure that the solution functions as intended.

The final step in the problem solving cycle is evaluating the solution and its effectiveness. This includes testing the solution against different scenarios and data sets to ensure its reliability and performance. If any issues or limitations are discovered, adjustments and optimizations are made to improve the solution.

In conclusion, the problem solving cycle is a fundamental process in computer science, involving analysis, data exploration, algorithm development, solution implementation, and evaluation. It is through this cycle that computer scientists are able to tackle complex problems and create innovative solutions that drive progress in the field of computer science.

Understanding the Importance

In computer science, problem solving is a crucial skill that is at the core of the problem solving cycle. The problem solving cycle is a systematic approach to analyzing and solving problems, involving various stages such as problem identification, analysis, algorithm design, implementation, and evaluation. Understanding the importance of this cycle is essential for any computer scientist or programmer.

Data Analysis and Algorithm Design

The first step in the problem solving cycle is problem identification, which involves recognizing and defining the issue at hand. Once the problem is identified, the next crucial step is data analysis. This involves gathering and examining relevant data to gain insights and understand the problem better. Data analysis helps in identifying patterns, trends, and potential solutions.

After data analysis, the next step is algorithm design. An algorithm is a step-by-step procedure or set of rules to solve a problem. Designing an efficient algorithm is crucial as it determines the effectiveness and efficiency of the solution. A well-designed algorithm takes into consideration the constraints, resources, and desired outcomes while implementing the solution.

Implementation and Evaluation

Once the algorithm is designed, the next step in the problem solving cycle is implementation. This involves translating the algorithm into a computer program using a programming language. The implementation phase requires coding skills and expertise in a specific programming language.

After implementation, the solution needs to be evaluated to ensure that it solves the problem effectively. Evaluation involves testing the program and verifying its correctness and efficiency. This step is critical to identify any errors or issues and to make necessary improvements or adjustments.

In conclusion, understanding the importance of the problem solving cycle in computer science is essential for any computer scientist or programmer. It provides a systematic and structured approach to analyze and solve problems, ensuring efficient and effective solutions. By following the problem solving cycle, computer scientists can develop robust algorithms, implement them in efficient programs, and evaluate their solutions to ensure their correctness and efficiency.

Identifying the Problem

In the problem solving cycle in computer science, the first step is to identify the problem that needs to be solved. This step is crucial because without a clear understanding of the problem, it is impossible to find a solution.

Identification of the problem involves a thorough analysis of the given data and understanding the goals of the task at hand. It requires careful examination of the problem statement and any constraints or limitations that may affect the solution.

During the identification phase, the problem is broken down into smaller, more manageable parts. This can involve breaking the problem down into sub-problems or identifying the different aspects or components that need to be addressed.

Identifying the problem also involves considering the resources and tools available for solving it. This may include considering the specific tools and programming languages that are best suited for the problem at hand.

By properly identifying the problem, computer scientists can ensure that they are focused on the right goals and are better equipped to find an effective and efficient solution. It sets the stage for the rest of the problem solving cycle, including the analysis, design, implementation, and evaluation phases.

Gathering the Necessary Data

Before finding a solution to a computer science problem, it is essential to gather the necessary data. Whether it’s writing a program or developing an algorithm, data serves as the backbone of any solution. Without proper data collection and analysis, the problem-solving process can become inefficient and ineffective.

The Importance of Data

In computer science, data is crucial for a variety of reasons. First and foremost, it provides the information needed to understand and define the problem at hand. By analyzing the available data, developers and programmers can gain insights into the nature of the problem and determine the most efficient approach for solving it.

Additionally, data allows for the evaluation of potential solutions. By collecting and organizing relevant data, it becomes possible to compare different algorithms or strategies and select the most suitable one. Data also helps in tracking progress and measuring the effectiveness of the chosen solution.

Data Gathering Process

The process of gathering data involves several steps. Firstly, it is necessary to identify the type of data needed for the particular problem. This may include numerical values, textual information, or other types of data. It is important to determine the sources of data and assess their reliability.

Once the required data has been identified, it needs to be collected. This can be done through various methods, such as surveys, experiments, observations, or by accessing existing data sets. The collected data should be properly organized, ensuring its accuracy and validity.

Data cleaning and preprocessing are vital steps in the data gathering process. This involves removing any irrelevant or erroneous data and transforming it into a suitable format for analysis. Properly cleaned and preprocessed data will help in generating reliable and meaningful insights.

Data Analysis and Interpretation

After gathering and preprocessing the data, the next step is data analysis and interpretation. This involves applying various statistical and analytical methods to uncover patterns, trends, and relationships within the data. By analyzing the data, programmers can gain valuable insights that can inform the development of an effective solution.

During the data analysis process, it is crucial to remain objective and unbiased. The analysis should be based on sound reasoning and logical thinking. It is also important to communicate the findings effectively, using visualizations or summaries to convey the information to stakeholders or fellow developers.

In conclusion, gathering the necessary data is a fundamental step in solving computer science problems. It provides the foundation for understanding the problem, evaluating potential solutions, and tracking progress. By following a systematic and rigorous approach to data gathering and analysis, developers can ensure that their solutions are efficient, effective, and well-informed.

Analyzing the Data

Once you have collected the necessary data, the next step in the problem-solving cycle is to analyze it. Data analysis is a crucial component of computer science, as it helps us understand the problem at hand and develop effective solutions.

To analyze the data, you need to break it down into manageable pieces and examine each piece closely. This process involves identifying patterns, trends, and outliers that may be present in the data. By doing so, you can gain insights into the problem and make informed decisions about the best course of action.

There are several techniques and tools available for data analysis in computer science. Some common methods include statistical analysis, data visualization, and machine learning algorithms. Each approach has its own strengths and limitations, so it’s essential to choose the most appropriate method for the problem you are solving.

Statistical Analysis

Statistical analysis involves using mathematical models and techniques to analyze data. It helps in identifying correlations, distributions, and other statistical properties of the data. By applying statistical tests, you can determine the significance and validity of your findings.

Data Visualization

Data visualization is the process of presenting data in a visual format, such as charts, graphs, or maps. It allows for a better understanding of complex data sets and facilitates the communication of findings. Through data visualization, patterns and trends can become more apparent, making it easier to derive meaningful insights.

Machine Learning Algorithms

Machine learning algorithms are powerful tools for analyzing large and complex data sets. These algorithms can automatically detect patterns and relationships in the data, leading to the development of predictive models and solutions. By training the algorithm on a labeled dataset, it can learn from the data and make accurate predictions or classifications.

In conclusion, analyzing the data is a critical step in the problem-solving cycle in computer science. It helps us gain a deeper understanding of the problem and develop effective solutions. Whether through statistical analysis, data visualization, or machine learning algorithms, data analysis plays a vital role in transforming raw data into actionable insights.

Exploring Possible Solutions

Once you have gathered data and completed the analysis, the next step in the problem-solving cycle is to explore possible solutions. This is where the true power of computer science comes into play. With the use of algorithms and the application of scientific principles, computer scientists can develop innovative solutions to complex problems.

During this stage, it is important to consider a variety of potential solutions. This involves brainstorming different ideas and considering their feasibility and potential effectiveness. It may be helpful to consult with colleagues or experts in the field to gather additional insights and perspectives.

Developing an Algorithm

One key aspect of exploring possible solutions is the development of an algorithm. An algorithm is a step-by-step set of instructions that outlines a specific process or procedure. In the context of problem solving in computer science, an algorithm provides a clear roadmap for implementing a solution.

The development of an algorithm requires careful thought and consideration. It is important to break down the problem into smaller, manageable steps and clearly define the inputs and outputs of each step. This allows for the creation of a logical and efficient solution.

Evaluating the Solutions

Once you have developed potential solutions and corresponding algorithms, the next step is to evaluate them. This involves analyzing each solution to determine its strengths, weaknesses, and potential impact. Consider factors such as efficiency, scalability, and resource requirements.

It may be helpful to conduct experiments or simulations to further assess the effectiveness of each solution. This can provide valuable insights and data to support the decision-making process.

Ultimately, the goal of exploring possible solutions is to find the most effective and efficient solution to the problem at hand. By leveraging the power of data, analysis, algorithms, and scientific principles, computer scientists can develop innovative solutions that drive progress and solve complex problems in the world of technology.

Evaluating the Options

Once you have identified potential solutions and algorithms for a problem, the next step in the problem-solving cycle in computer science is to evaluate the options. This evaluation process involves analyzing the potential solutions and algorithms based on various criteria to determine the best course of action.

Consider the Problem

Before evaluating the options, it is important to take a step back and consider the problem at hand. Understand the requirements, constraints, and desired outcomes of the problem. This analysis will help guide the evaluation process.

Analyze the Options

Next, it is crucial to analyze each solution or algorithm option individually. Look at factors such as efficiency, accuracy, ease of implementation, and scalability. Consider whether the solution or algorithm meets the specific requirements of the problem, and if it can be applied to related problems in the future.

Additionally, evaluate the potential risks and drawbacks associated with each option. Consider factors such as cost, time, and resources required for implementation. Assess any potential limitations or trade-offs that may impact the overall effectiveness of the solution or algorithm.

Select the Best Option

Based on the analysis, select the best option that aligns with the specific problem-solving goals. This may involve prioritizing certain criteria or making compromises based on the limitations identified during the evaluation process.

Remember that the best option may not always be the most technically complex or advanced solution. Consider the practicality and feasibility of implementation, as well as the potential impact on the overall system or project.

In conclusion, evaluating the options is a critical step in the problem-solving cycle in computer science. By carefully analyzing the potential solutions and algorithms, considering the problem requirements, and considering the limitations and trade-offs, you can select the best option to solve the problem at hand.

Making a Decision

Decision-making is a critical component in the problem-solving process in computer science. Once you have analyzed the problem, identified the relevant data, and generated a potential solution, it is important to evaluate your options and choose the best course of action.

Consider All Factors

When making a decision, it is important to consider all relevant factors. This includes evaluating the potential benefits and drawbacks of each option, as well as understanding any constraints or limitations that may impact your choice.

In computer science, this may involve analyzing the efficiency of different algorithms or considering the scalability of a proposed solution. It is important to take into account both the short-term and long-term impacts of your decision.

Weigh the Options

Once you have considered all the factors, it is important to weigh the options and determine the best approach. This may involve assigning weights or priorities to different factors based on their importance.

Using techniques such as decision matrices or cost-benefit analysis can help you systematically compare and evaluate different options. By quantifying and assessing the potential risks and rewards, you can make a more informed decision.

Remember: Decision-making in computer science is not purely subjective or based on personal preference. It is crucial to use analytical and logical thinking to select the most optimal solution.

In conclusion, making a decision is a crucial step in the problem-solving process in computer science. By considering all relevant factors and weighing the options using logical analysis, you can choose the best possible solution to a given problem.

Implementing the Solution

Once the problem has been analyzed and a solution has been proposed, the next step in the problem-solving cycle in computer science is implementing the solution. This involves turning the proposed solution into an actual computer program or algorithm that can solve the problem.

In order to implement the solution, computer science professionals need to have a strong understanding of various programming languages and data structures. They need to be able to write code that can manipulate and process data in order to solve the problem at hand.

During the implementation phase, the proposed solution is translated into a series of steps or instructions that a computer can understand and execute. This involves breaking down the problem into smaller sub-problems and designing algorithms to solve each sub-problem.

Computer scientists also need to consider the efficiency of their solution during the implementation phase. They need to ensure that the algorithm they design is able to handle large amounts of data and solve the problem in a reasonable amount of time. This often requires optimization techniques and careful consideration of the data structures used.

Once the code has been written and the algorithm has been implemented, it is important to test and debug the solution. This involves running test cases and checking the output to ensure that the program is working correctly. If any errors or bugs are found, they need to be fixed before the solution can be considered complete.

In conclusion, implementing the solution is a crucial step in the problem-solving cycle in computer science. It requires strong programming skills and a deep understanding of algorithms and data structures. By carefully designing and implementing the solution, computer scientists can solve problems efficiently and effectively.

Testing and Debugging

In computer science, testing and debugging are critical steps in the problem-solving cycle. Testing helps ensure that a program or algorithm is functioning correctly, while debugging analyzes and resolves any issues or bugs that may arise.

Testing involves running a program with specific input data to evaluate its output. This process helps verify that the program produces the expected results and handles different scenarios correctly. It is important to test both the normal and edge cases to ensure the program’s reliability.

Debugging is the process of identifying and fixing errors or bugs in a program. When a program does not produce the expected results or crashes, it is necessary to go through the code to find and fix the problem. This can involve analyzing the program’s logic, checking for syntax errors, and using debugging tools to trace the flow of data and identify the source of the issue.

Data analysis plays a crucial role in both testing and debugging. It helps to identify patterns, anomalies, or inconsistencies in the program’s behavior. By analyzing the data, developers can gain insights into potential issues and make informed decisions on how to improve the program’s performance.

In conclusion, testing and debugging are integral parts of the problem-solving cycle in computer science. Through testing and data analysis, developers can verify the correctness of their programs and identify and resolve any issues that may arise. This ensures that the algorithms and programs developed in computer science are robust, reliable, and efficient.

Iterating for Improvement

In computer science, problem solving often involves iterating through multiple cycles of analysis, solution development, and evaluation. This iterative process allows for continuous improvement in finding the most effective solution to a given problem.

The problem solving cycle starts with problem analysis, where the specific problem is identified and its requirements are understood. This step involves examining the problem from various angles and gathering all relevant information.

Once the problem is properly understood, the next step is to develop an algorithm or a step-by-step plan to solve the problem. This algorithm is a set of instructions that, when followed correctly, will lead to the solution.

After the algorithm is developed, it is implemented in a computer program. This step involves translating the algorithm into a programming language that a computer can understand and execute.

Once the program is implemented, it is then tested and evaluated to ensure that it produces the correct solution. This evaluation step is crucial in identifying any errors or inefficiencies in the program and allows for further improvement.

If any issues or problems are found during testing, the cycle iterates, starting from problem analysis again. This iterative process allows for refinement and improvement of the solution until the desired results are achieved.

Iterating for improvement is a fundamental concept in computer science problem solving. By continually analyzing, developing, and evaluating solutions, computer scientists are able to find the most optimal and efficient approaches to solving problems.

Documenting the Process

Documenting the problem-solving process in computer science is an essential step to ensure that the cycle is repeated successfully. The process involves gathering information, analyzing the problem, and designing a solution.

During the analysis phase, it is crucial to identify the specific problem at hand and break it down into smaller components. This allows for a more targeted approach to finding the solution. Additionally, analyzing the data involved in the problem can provide valuable insights and help in designing an effective solution.

Once the analysis is complete, it is important to document the findings. This documentation can take various forms, such as written reports, diagrams, or even code comments. The goal is to create a record that captures the problem, the analysis, and the proposed solution.

Documenting the process serves several purposes. Firstly, it allows for easy communication and collaboration between team members or future developers. By documenting the problem, analysis, and solution, others can easily understand the thought process behind the solution and potentially build upon it.

Secondly, documenting the process provides an opportunity for reflection and improvement. By reviewing the documentation, developers can identify areas where the problem-solving cycle can be strengthened or optimized. This continuous improvement is crucial in the field of computer science, as new challenges and technologies emerge rapidly.

In conclusion, documenting the problem-solving process is an integral part of the computer science cycle. It allows for effective communication, collaboration, and reflection on the solutions devised. By taking the time to document the process, developers can ensure a more efficient and successful problem-solving experience.

Communicating the Solution

Once the problem solving cycle is complete, it is important to effectively communicate the solution. This involves explaining the analysis, data, and steps taken to arrive at the solution.

Analyzing the Problem

During the problem solving cycle, a thorough analysis of the problem is conducted. This includes understanding the problem statement, gathering relevant data, and identifying any constraints or limitations. It is important to clearly communicate this analysis to ensure that others understand the problem at hand.

Presenting the Solution

The next step in communicating the solution is presenting the actual solution. This should include a detailed explanation of the steps taken to solve the problem, as well as any algorithms or data structures used. It is important to provide clear and concise descriptions of the solution, so that others can understand and reproduce the results.

Overall, effective communication of the solution in computer science is essential to ensure that others can understand and replicate the problem solving process. By clearly explaining the analysis, data, and steps taken, the solution can be communicated in a way that promotes understanding and collaboration within the field of computer science.

Reflecting and Learning

Reflecting and learning are crucial steps in the problem solving cycle in computer science. Once a problem has been solved, it is essential to reflect on the entire process and learn from the experience. This allows for continuous improvement and growth in the field of computer science.

During the reflecting phase, one must analyze and evaluate the problem solving process. This involves reviewing the initial problem statement, understanding the constraints and requirements, and assessing the effectiveness of the chosen algorithm and solution. It is important to consider the efficiency and accuracy of the solution, as well as any potential limitations or areas for optimization.

By reflecting on the problem solving cycle, computer scientists can gain valuable insights into their own strengths and weaknesses. They can identify areas where they excelled and areas where improvement is needed. This self-analysis helps in honing problem solving skills and becoming a better problem solver.

Learning from Mistakes

Mistakes are an integral part of the problem solving cycle, and they provide valuable learning opportunities. When a problem is not successfully solved, it is essential to analyze the reasons behind the failure and learn from them. This involves identifying errors in the algorithm or solution, understanding the underlying concepts or principles that were misunderstood, and finding alternative approaches or strategies.

Failure should not be seen as a setback, but rather as an opportunity for growth. By learning from mistakes, computer scientists can improve their problem solving abilities and expand their knowledge and understanding of computer science. It is through these failures and the subsequent learning process that new ideas and innovations are often born.

Continuous Improvement

Reflecting and learning should not be limited to individual problem solving experiences, but should be an ongoing practice. As computer science is a rapidly evolving field, it is crucial to stay updated with new technologies, algorithms, and problem solving techniques. Continuous learning and improvement contribute to staying competitive and relevant in the field.

Computer scientists can engage in continuous improvement by seeking feedback from peers, participating in research and development activities, attending conferences and workshops, and actively seeking new challenges and problem solving opportunities. This dedication to learning and improvement ensures that one’s problem solving skills remain sharp and effective.

In conclusion, reflecting and learning are integral parts of the problem solving cycle in computer science. They enable computer scientists to refine their problem solving abilities, learn from mistakes, and continuously improve their skills and knowledge. By embracing these steps, computer scientists can stay at the forefront of the ever-changing world of computer science and contribute to its advancements.

Applying Problem Solving in Real Life

In computer science, problem solving is not limited to the realm of programming and algorithms. It is a skill that can be applied to various aspects of our daily lives, helping us to solve problems efficiently and effectively. By using the problem-solving cycle and applying the principles of analysis, data, solution, algorithm, and cycle, we can tackle real-life challenges with confidence and success.

The first step in problem-solving is to analyze the problem at hand. This involves breaking it down into smaller, more manageable parts and identifying the key issues or goals. By understanding the problem thoroughly, we can gain insights into its root causes and potential solutions.

For example, let’s say you’re facing a recurring issue in your daily commute – traffic congestion. By analyzing the problem, you may discover that the main causes are a lack of alternative routes and a lack of communication between drivers. This analysis helps you identify potential solutions such as using navigation apps to find alternate routes or promoting carpooling to reduce the number of vehicles on the road.

Gathering and Analyzing Data

Once we have identified the problem, it is important to gather relevant data to support our analysis. This may involve conducting surveys, collecting statistics, or reviewing existing research. By gathering data, we can make informed decisions and prioritize potential solutions based on their impact and feasibility.

Continuing with the traffic congestion example, you may gather data on the average commute time, the number of vehicles on the road, and the impact of carpooling on congestion levels. This data can help you analyze the problem more accurately and determine the most effective solutions.

Generating and Evaluating Solutions

After analyzing the problem and gathering data, the next step is to generate potential solutions. This can be done through brainstorming, researching best practices, or seeking input from experts. It is important to consider multiple options and think outside the box to find innovative and effective solutions.

For our traffic congestion problem, potential solutions can include implementing a smart traffic management system that optimizes traffic flow or investing in public transportation to incentivize people to leave their cars at home. By evaluating each solution’s potential impact, cost, and feasibility, you can make an informed decision on the best course of action.

Implementing and Iterating

Once a solution has been chosen, it is time to implement it in real life. This may involve developing a plan, allocating resources, and executing the solution. It is important to monitor the progress and collect feedback to learn from the implementation and make necessary adjustments.

For example, if the chosen solution to address traffic congestion is implementing a smart traffic management system, you would work with engineers and transportation authorities to develop and deploy the system. Regular evaluation and iteration of the system’s performance would ensure that it is effective and making a positive impact on reducing congestion.

By applying the problem-solving cycle derived from computer science to real-life situations, we can approach challenges with a systematic and analytical mindset. This can help us make better decisions, improve our problem-solving skills, and ultimately achieve more efficient and effective solutions.

Building Problem Solving Skills

In the field of computer science, problem-solving is a fundamental skill that is crucial for success. Whether you are a computer scientist, programmer, or student, developing strong problem-solving skills will greatly benefit your work and studies. It allows you to approach challenges with a logical and systematic approach, leading to efficient and effective problem resolution.

The Problem Solving Cycle

Problem-solving in computer science involves a cyclical process known as the problem-solving cycle. This cycle consists of several stages, including problem identification, data analysis, solution development, implementation, and evaluation. By following this cycle, computer scientists are able to tackle complex problems and arrive at optimal solutions.

Importance of Data Analysis

Data analysis is a critical step in the problem-solving cycle. It involves gathering and examining relevant data to gain insights and identify patterns that can inform the development of a solution. Without proper data analysis, computer scientists may overlook important information or make unfounded assumptions, leading to subpar solutions.

To effectively analyze data, computer scientists can employ various techniques such as data visualization, statistical analysis, and machine learning algorithms. These tools enable them to extract meaningful information from large datasets and make informed decisions during the problem-solving process.

Developing Effective Solutions

Developing effective solutions requires creativity, critical thinking, and logical reasoning. Computer scientists must evaluate multiple approaches, consider various factors, and assess the feasibility of different solutions. They should also consider potential limitations and trade-offs to ensure that the chosen solution addresses the problem effectively.

Furthermore, collaboration and communication skills are vital when building problem-solving skills. Computer scientists often work in teams and need to effectively communicate their ideas, propose solutions, and address any challenges that arise during the problem-solving process. Strong interpersonal skills facilitate collaboration and enhance problem-solving outcomes.

• Mastering programming languages and algorithms
• Staying updated with technological advancements in the field
• Practicing problem solving through coding challenges and projects
• Seeking feedback and learning from mistakes
• Continuing to learn and improve problem-solving skills

By following these strategies, individuals can strengthen their problem-solving abilities and become more effective computer scientists or programmers. Problem-solving is an essential skill in computer science and plays a central role in driving innovation and advancing the field.

Questions and answers:

What is the problem solving cycle in computer science.

The problem solving cycle in computer science refers to a systematic approach that programmers use to solve problems. It involves several steps, including problem definition, algorithm design, implementation, testing, and debugging.

How important is the problem solving cycle in computer science?

The problem solving cycle is extremely important in computer science as it allows programmers to effectively tackle complex problems and develop efficient solutions. It helps in organizing the thought process and ensures that the problem is approached in a logical and systematic manner.

What are the steps involved in the problem solving cycle?

The problem solving cycle typically consists of the following steps: problem definition and analysis, algorithm design, implementation, testing, and debugging. These steps are repeated as necessary until a satisfactory solution is achieved.

Can you explain the problem definition and analysis step in the problem solving cycle?

During the problem definition and analysis step, the programmer identifies and thoroughly understands the problem that needs to be solved. This involves analyzing the requirements, constraints, and possible inputs and outputs. It is important to have a clear understanding of the problem before proceeding to the next steps.

Why is testing and debugging an important step in the problem solving cycle?

Testing and debugging are important steps in the problem solving cycle because they ensure that the implemented solution functions as intended and is free from errors. Through testing, the programmer can identify and fix any issues or bugs in the code, thereby improving the quality and reliability of the solution.

What is the problem-solving cycle in computer science?

The problem-solving cycle in computer science refers to the systematic approach that computer scientists use to solve problems. It involves various steps, including problem analysis, algorithm design, coding, testing, and debugging.

Related posts:

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• A Comprehensive Guide to the Problem Solving Cycle in Psychology – Strategies, Techniques, and Applications
• The Step-by-Step Problem Solving Cycle for Effective Solutions
• The Importance of Implementing the Problem Solving Cycle in Education to Foster Critical Thinking and Problem-Solving Skills in Students
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• The Comprehensive Guide to the Problem Solving Cycle in PDF Format
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How-To Geek

How to make windows troubleshoot your pc's problems for you.

Windows includes a variety of "troubleshooters" designed to quickly diagnose and automatically solve various computer problems.

Quick Links

Windows 7 and 8.

Windows includes a variety of "troubleshooters" designed to quickly diagnose and automatically solve various computer problems. Troubleshooters can't fix everything, but they're a great place to start if you encounter a problem with your computer.

Troubleshooters are built into the Control Panel on Windows 10, 8, and 7, so practically all Windows users can take advantage of them. On Windows 10's Creators Update , most troubleshooters are now available through the Settings app.

If you've installed Windows 10's Creators Update, you'll find these in Settings. Navigate to Settings > Update & Security > Troubleshoot.

Related: Everything You Need to Know About the Blue Screen of Death

As of the Creators Update, the following troubleshooters are available here: Blue Screen , Bluetooth, Hardware and Devices, HomeGroup, Incoming Connections, Internet Connections, Keyboard, Network Adapter, Printer, Playing Audio, Power, Program Compatibility Troubleshooter, Recording Audio, Search and Indexing, Shared Folders, Speech, Video Playback, Windows Store Apps, and Windows Update.

If something isn't working properly on your PC, the associated troubleshooter may find and fix the problem for you.

Select the troubleshooter you want to run and click "Run Troubleshooter". Many troubleshooters will run automatically and fix problems they find, while some troubleshooters will suggest various fixes you can choose whether to apply.

The Settings interface doesn't list every available troubleshooter. For example, it omits the Background Intelligent Transfer service, Windows Media Player DVD, Windows Media Player Library, and Windows Media Player Settings troubleshooters.

These are still available if you need them---they're just buried in the Control Panel. To find them, open the Control Panel, type "Troubleshoot" into its search box, and click the "Troubleshooting" icon.

Click "View all" at the left side of the Troubleshooting pane and you'll see a full list of available troubleshooters.

You'll find these tools in the Control Panel on Windows 7 and 8. You'll also need to use the Control Panel if you're using  Windows 10's Anniversary Update  or an earlier version of Windows 10.

Navigate to Control Panel > System and Security > Troubleshoot Common Computer Problems. On Windows 7, click "Find and Fix Problems" instead.

You'll see a list of the most common troubleshooters you might need.

These aren't the only available troubleshooters. Click "View All" in the sidebar to view a full list of troubleshooters. Here's a list of the troubleshooters you might find, although not all versions of Windows include the same troubleshooters:

• Background Intelligent Transfer Service : Finds and fixes problems with the Background Intelligent Transfer Service, which Windows Update and some other services use for background downloads.
• Hardware and Devices : Checks your computer for issues with hardware devices. If a hardware device--particularly a recently installed one--isn't working properly, this troubleshooter can find and fix problems with hardware detection and drivers.
• HomeGroup : Looks for problems with your HomeGroup network and file-sharing settings.
• Incoming Connections : Checks if the Windows Firewall is blocking incoming connections you need and help you unblock them.
• Internet Connections : Detects and fixes problems with your Internet connection and loading websites.
• Internet Explorer Performance : Identifies problems that can slow down Internet Explorer and fixes them.
• Internet Explorer Safety : Identifies settings that can cause security and privacy problems in Internet Explorer and fixes them.
• Network Adapter : Finds and fixes issues with your Wi-Fi adapter or other network adapters.
• Playing Audio : Scans for problems that can prevent sound from playing properly.
• Power : Identifies and fixes problems with power settings to increase your computer's battery life.
• Printer : Checks for and fixes problems with printers and printing.

Related: How to Make Old Programs Work on Windows 10

• Program Compatability Troubleshooter : Helps you choose the best compatibility settings for running programs designed for older versions of Windows.
• Recording Audio : Scans for problems that can prevent microphone audio recording from working.
• Search and Indexing : Fixes problems with Windows Search and the indexer.
• Shared Folders : Identifies issues that can prevent shared network folders from functioning.
• System Maintenance : Finds and fixes broken shortcuts and performs and system maintenance tasks, including checking if your clock is the correct time.
• Video Playback : Detects problems that can prevent videos from playing back properly and fixes them.
• Windows Media Player DVD : Fixes issues that can prevent DVDs from playing in Windows Media Player.
• Windows Media Player Library : Fixes issues with Windows Media Player's media library.
• Windows Media Player Settings : Fixes issues with Windows Media Player's settings.
• Windows Store Apps : Repairs problems that can prevent Windows Store apps--in other words, Windows 10's new Universal Windows Platform apps--from working properly.
• Windows Update : Identifies and fixes issues that can cause Windows Update to not work at all, or fail to install some updates.

To run a troubleshooter, just click it in the Troubleshooting pane. To quickly find a relevant troubleshooter, you can perform a search from the Troubleshooting window.

The troubleshooter will launch after you click it. Just click "Next" to begin troubleshooting.

Most troubleshooters will run automatically, looking for problems and fixing any issues they find. To prevent the troubleshooter from automatically making changes to your system, click the "Advanced" link at the bottom left corner of the troubleshooter window and uncheck the "Apply Repairs Automatically" option. You'll be prompted with more information before the troubleshooter makes any changes to your system.

While most troubleshooters run automatically, some troubleshooters will give you options you need to click. For example, the Program Compatibility troubleshooter will walk you through choosing a program that isn't working properly and changing its compatibility settings. The Incoming Connections troubleshooter will ask you what you're trying to do so it know what type of incoming connection to troubleshoot.

That's about it. There isn't a troubleshooter for every issue you'll encounter, and the troubleshooters that do exist won't be able to fix every problem. But troubleshooters are a good place to start when you encounter a problem with something.

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Article • 7 min read

What Is Problem Solving?

By the Mind Tools Content Team

We all spend a lot of our time solving problems, both at work and in our personal lives.

Some problems are small, and we can quickly sort them out ourselves. But others are complex challenges that take collaboration, creativity, and a considerable amount of effort to solve.

At work, the types of problems we face depend largely on the organizations we're in and the jobs we do. A manager in a cleaning company, for example, might spend their day untangling staffing issues, resolving client complaints, and sorting out problems with equipment and supplies. An aircraft designer, on the other hand, might be grappling with a problem about aerodynamics, or trying to work out why a new safety feature isn't working. Meanwhile, a politician might be exploring solutions to racial injustice or climate change.

But whatever issues we face, there are some common ways to tackle them effectively. And we can all boost our confidence and ability to succeed by building a strong set of problem-solving skills.

Mind Tools offers a large collection of resources to help you do just that!

How Well Do You Solve Problems?

Start by taking an honest look at your existing skills. What's your current approach to solving problems, and how well is it working? Our quiz, How Good Is Your Problem Solving? lets you analyze your abilities, and signposts ways to address any areas of weakness.

Define Every Problem

The first step in solving a problem is understanding what that problem actually is. You need to be sure that you're dealing with the real problem – not its symptoms. For example, if performance in your department is substandard, you might think that the problem lies with the individuals submitting work. However, if you look a bit deeper, the real issue might be a general lack of training, or an unreasonable workload across the team.

Tools like 5 Whys , Appreciation and Root Cause Analysis get you asking the right questions, and help you to work through the layers of a problem to uncover what's really going on.

However, defining a problem doesn't mean deciding how to solve it straightaway. It's important to look at the issue from a variety of perspectives. If you commit yourself too early, you can end up with a short-sighted solution. The CATWOE checklist provides a powerful reminder to look at many elements that may contribute to the problem, keeping you open to a variety of possible solutions.

Understanding Complexity

As you define your problem, you'll often discover just how complicated it is. There are likely several interrelated issues involved. That's why it's important to have ways to visualize, simplify and make sense of this tangled mess!

Affinity Diagrams are great for organizing many different pieces of information into common themes, and for understanding the relationships between them.

Another popular tool is the Cause-and-Effect Diagram . To generate viable solutions, you need a solid understanding of what's causing the problem.

When your problem occurs within a business process, creating a Flow Chart , Swim Lane Diagram or a Systems Diagram will help you to see how various activities and inputs fit together. This may well highlight a missing element or bottleneck that's causing your problem.

Quite often, what seems to be a single problem turns out to be a whole series of problems. The Drill Down technique prompts you to split your problem into smaller, more manageable parts.

General Problem-Solving Tools

When you understand the problem in front of you, you’re ready to start solving it. With your definition to guide you, you can generate several possible solutions, choose the best one, then put it into action. That's the four-step approach at the heart of good problem solving.

There are various problem-solving styles to use. For example:

• Constructive Controversy is a way of widening perspectives and energizing discussions.
• Inductive Reasoning makes the most of people’s experiences and know-how, and can speed up solution finding.
• Means-End Analysis can bring extra clarity to your thinking, and kick-start the process of implementing solutions.

Specific Problem-Solving Systems

Some particularly complicated or important problems call for a more comprehensive process. Again, Mind Tools has a range of approaches to try, including:

• Simplex , which involves an eight-stage process: problem finding, fact finding, defining the problem, idea finding, selecting and evaluating, planning, selling the idea, and acting. These steps build upon the basic, four-step process described above, and they create a cycle of problem finding and solving that will continually improve your organization.
• Appreciative Inquiry , which is a uniquely positive way of solving problems by examining what's working well in the areas surrounding them.
• Soft Systems Methodology , which takes you through four stages to uncover more details about what's creating your problem, and then define actions that will improve the situation.

Further Problem-Solving Strategies

Good problem solving requires a number of other skills – all of which are covered by Mind Tools.

For example, we have a large section of resources to improve your Creativity , so that you come up with a range of possible solutions.

By strengthening your Decision Making , you'll be better at evaluating the options, selecting the best ones, then choosing how to implement them.

And our Project Management collection has valuable advice for strengthening the whole problem-solving process. The resources there will help you to make effective changes – and then keep them working long term.

Problems are an inescapable part of life, both in and out of work. So we can all benefit from having strong problem-solving skills.

It's important to understand your current approach to problem solving, and to know where and how to improve.

Define every problem you encounter – and understand its complexity, rather than trying to solve it too soon.

There's a range of general problem-solving approaches, helping you to generate possible answers, choose the best ones, and then implement your solution.

Some complicated or serious problems require more specific problem-solving systems, especially when they relate to business processes.

By boosting your creativity, decision-making and project-management skills, you’ll become even better at solving all the problems you face.

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Problem Solving

Solving problems is the core of computer science. Programmers must first understand how a human solves a problem, then understand how to translate this "algorithm" into something a computer can do, and finally how to "write" the specific syntax (required by a computer) to get the job done. It is sometimes the case that a machine will solve a problem in a completely different way than a human.

Computer Programmers are problem solvers. In order to solve a problem on a computer you must:

Know how to represent the information (data) describing the problem.

Determine the steps to transform the information from one representation into another.

Information Representation

A computer, at heart, is really dumb. It can only really know about a few things... numbers, characters, booleans, and lists (called arrays) of these items. (See Data Types). Everything else must be "approximated" by combinations of these data types.

A good programmer will "encode" all the "facts" necessary to represent a problem in variables (See Variables). Further, there are "good ways" and "bad ways" to encode information. Good ways allow the computer to easily "compute" new information.

An algorithm (see Algorithm) is a set of specific steps to solve a problem. Think of it this way: if you were to tell your 3 year old neice to play your favorite song on the piano (assuming the neice has never played a piano), you would have to tell her where the piano was, and how to sit on the bench, and how to open the cover, and which keys to press, and which order to press them in, etc, etc, etc.

The core of what good programmers do is being able to define the steps necessary to accomplish a goal. Unfortunately, a computer, only knows a very restricted and limited set of possible steps. For example a computer can add two numbers. But if you want to find the average of two numbers, this is beyond the basic capabilities of a computer. To find the average, you must:

• First: Add the two numbers and save this result in a variable
• Then: Divide this new number the number two, and save this result in a variable.
• Finally: provide this number to the rest of the program (or print it for the user).

We "compute" all the time. Computing is the act of solving problems (or coming up with a plan to solve problems) in an organized manner. We don't need computers to "compute". We can use our own brain.

Encapsulation and Abstraction and Complexity Hiding

Computer scientists like to use the fancy word "Encapsulation" to show how smart we are. This is just a term for things we do as humans every day. It is combined with another fancy term: "Abstraction".

Abstraction is the idea of "ignoring the details". For example, a forest is really a vastly complex ecosystem containing trees, animals, water paths, etc, etc, etc. But to a computer scientist (and to a normal person), its just "a forest".

For example, if your professor needs a cup of coffee, and asks you the single item: "Get me a cup of coffee", he has used both encapsulation and abstraction. The number of steps required to actually get the coffee are enumerable. Including, getting up, walking down the hall, getting in your car, driving to a coffee stand, paying for the coffee, etc, etc, etc. Further, the idea of what a cup of coffee is, is abstract. Do you bring a mug of coffee, or a Styrofoam cup? Is it caffeinated or not? Is it freshly brewed or from concentrate? Does it come from Africa or America?

All of this information is TOO MUCH and we would quickly be unable to funciton if we had to remember all of these details. Thus we "abstract away" the details and only remember the few important items.

This brings us to the idea of "Complexity Hiding". Complexity hiding is the idea that most of the times details don't matter. In a computer program, as simple an idea as drawing a square on the screen involves hundreds (if not thousands) of (low level) computer instructions. Again, a person couldn't possible create interesting programs if every time they wanted to do something, they had to re-write (correctly) every one of those instructions. By "ecapsulating" what is meant by "draw square" and "reusing" this operation over and over again, we make programming tractable.

Encapsulation

The idea behind encapsulation is to store the information necessary to a particular idea in a set of variables associated with a single "object". We then create functions to manipulate this object, regardless of what the actual data is. From that point on, we treat the idea from a "high level" rather than worry about all the parts (data) and actions (functions) necessary to represent the object in a computer.

Brute Force

Brute force is a technique for solving problems that relies on a computers speed (how fast it can repeat steps) to solve a problem. For example, if you wanted to know how many times the number 8 goes into the number 100, you could do the following:

Of course this is a silly way for a computer (or a human) to solve this problem. The real way we would do it is:

When in doubt, you can often use "brute force" to solve a problem, but it often saves time (at least computer time) to think about the problem and solve it in an elegant manner.

Home » Tech Basics » Digital Literacy » Troubleshooting Basic Computer Problems

How to Troubleshoot Basic Computer Problems to Fix Your Computer

A big reason that discourages some people from trying to become familiar with computers and other digital technology devices is that they seem far too complex to understand. While that can be true in some respects, in a lot of other ways, it’s not. In fact, most consumer-grade digital technology is being made more accessible and intuitive all the time.

Just a heads-up that some of the services we’re reviewing here have affiliate partnerships with us, so we may earn a commission if you visit one of them and buy something. You can read more about how this works at https://techboomers.com/how-to-support-techboomers .

Part of that is making computers easier to fix when something doesn’t work correctly. And even computer troubleshooting isn’t always as difficult as you might think. To demonstrate, this article will give you some simple tips and techniques for how to fix a computer. Here’s a quick rundown of our agenda:

What is troubleshooting?

10 common computer problems and how to troubleshoot them, 7 general tips for troubleshooting computer problems.

Stick with us, and soon you’ll be a basic computer troubleshooting whiz!

“Troubleshooting” usually describes the act of fixing problems that cause machines (especially computers) to stop working, work sub-optimally, or otherwise do something irregular. Specifically, though, it actually refers to a particular problem-solving system that works through several steps.

A basic representation of the troubleshooting process looks something like this:

• Identify the specific problem – Determine exactly what it is your computer is not doing that you want it to do, or doing that you don’t want it to do.
• Consider relations to similar scenarios – Think about problems that you may have had with your computer before that were like your current one. Recall how those problems were solved, and consider what was the same or different in those instances.
• Hypothesize and treat common causes – Brainstorm some simple things that could make your computer not act in the particular way you want it to. Check and fix these things, and then see if that stops the problem and keeps it from coming back soon afterward. If it does, you’re done! If not, proceed to step 4.
• Test relevant components – If none of the common solutions work, methodically check parts (all of them, if you have to) of each system on your computer that could be responsible for the problem.
• Implement a solution on the problem component – If you think you’ve narrowed down what part of your computer is causing your issue, come up with a strategy for how to fix it, and then test it out.
• Verify that the issue is resolved – After working on the allegedly faulty computer component, if the problem is gone and doesn’t quickly start reoccurring (and, therefore, your computer is working normally again), you’re done! If not, go back to step 4.

Now that you know what the troubleshooting process is and how it works, let’s see it in action! Here are some common computer maladies and how to work through them.

1. My computer runs slowly.

General description:

Your computer takes a long time to boot up, programs take a long time to open, and both system and application functions take longer than usual to respond to your inputs.

Common causes:

• You have too many windows open at once, or too many programs running at once.
• Your computer’s registry is fragmented or corrupted.
• Your computer has installed a virus or other malware program.
• Your computer doesn’t have enough RAM to run all the programs you want it to.

Troubleshooting suggestions:

• Close any windows and quit any programs that you aren’t immediately using.
• Go to your Control Panel and uninstall old programs that you don’t use anymore.
• Open your Task Manager and stop programs or processes that don’t need to be running.
• Install and run an antivirus program to repair infected files.
• Take your computer to a repair shop to get its RAM upgraded.

2. I’m stuck on the “Blue Screen of Death.”

This is more officially known as a “STOP error,” and it shows up when your computer’s operating system determines that it can’t run your computer safely at the moment. It has various causes, some of which are more serious than others. Be sure to read the specific error message for hints on what went wrong.

• A piece of hardware on your computer is malfunctioning or is not compatible.
• The software controlling a piece of hardware (i.e. “driver” or “firmware”) is out of date.
• Your main hard disk doesn’t have enough free memory space available on it.
• Your BIOS or other hardware settings are misconfigured.
• Use System Restore to revert your computer to a state where it was working.
• Install updates for your operating system, device drivers, BIOS, and other programs.
• Change the settings for your BIOS and hardware back to their defaults.
• Make sure all hardware components of your computer are properly installed.
• Test your computer’s hardware for failures (likely RAM or hard disk ), and replace if necessary.

3. My computer won’t turn on.

You press the power button and your computer won’t turn on, or it powers up and then promptly shuts down. The good news (if you can call it that) is that this is almost always a hardware problem, so you can usually immediately rule out any software-related culprits.

• One or more power switches to your computer system aren’t turned on.
• Your computer’s power supply or power cord is missing, unplugged, or faulty.
• One or more of your computer’s hardware components are improperly connected or faulty.
• Your computer’s CMOS battery is out of power.
• The power button itself isn’t working.
• Make sure each switch leading to your computer’s power supply is on.
• Make sure all power cables on your computer are connected and set to the correct voltage.
• Remove all intermediary power sources and plug your computer directly into an outlet.
• Disconnect all peripheral devices (mouse, keyboard, etc.) before trying to start your computer.
• Open your computer case and make sure all hardware components are properly connected.
• Replace your CMOS battery .
• Replace your hard drive or motherboard.

4. My computer continually or randomly restarts or shuts down, especially while it’s booting.

Your computer randomly restarts or shuts down on you while you’re using it. Or, shortly after booting up, your computer crashes and shuts down or forces you to restart it. Like the “Blue Screen of Death” (which is sometimes associated with this problem), this can be caused by a few different things, and some of them require more work to fix than others.

• Your operating system is missing a key update.
• One or more of your computer’s device driver programs are out of date.
• Your computer’s motherboard, RAM, and/or hard disk are damaged.

How to troubleshoot it:

• Make sure you have installed all recommended update packages for your operating system.
• Make sure the device drivers for your computer’s hardware components are all up-to-date.
• Install, update, and run an antivirus program to repair infected files.
• Take out a RAM module and start your computer. If it doesn’t work, put it back and try another.
• Replace your hard drive and/or RAM modules, with an experienced repair person if necessary.

5. Parts of my computer are beeping or making strange noises.

You should hear minimal noise coming from your computer if it’s running optimally. But if the hard drive starts beeping, or other hardware parts start making more noise than usual, it could be a sign of a problem with your computer.

• A CD/DVD-ROM or external disk drive may be trying to access files (most of which is normal).
• One or more of your computer’s cooling fans are broken or working sub-optimally.
• A RAM module or other piece of hardware is malfunctioning or is incorrectly installed.
• The hard drive is close to failing.
• The motherboard has detected some other manner of problem .
• Remove any disks from your CD/DVD-ROM drive and disconnect any external disk drives.
• Clean your computer fans with something, like a compressed air can, or repair or replace them.
• Check the BIOS settings to make sure they’re running the fans correctly.
• Remove all RAM modules and then properly re-insert them.
• Remove any newly-installed hardware components and re-insert, repair, or replace them.
• Back up the files on your hard drive and then get it replaced.

6. My computer is overheating.

Parts of your computer feel abnormally hot when you touch them or put your extremities near them. This is usually a problem with your computer’s fans or other cooling systems, but that may have indirect causes as well, such as putting a bigger data load on your computer than it can handle.

• The airflow through your computer’s case is restricted or blocked.
• Your BIOS settings are running your computer faster than it can handle (“overclocking”).
• Adjust the BIOS settings to run the fans correctly and not run your CPU faster than it can handle.
• Make sure the vents to and from your computer’s fans aren’t blocked.
• Install and use a program that can control the speed of your computer’s fans.

7. My computer’s peripheral devices, like the mouse and keyboard, aren’t working.

Extra hardware devices that you attach to your computer – like a keyboard, mouse, or external disk drive ­– aren’t working or are acting differently than they normally do. This is mainly a connection or driver issue, but it may be something else.

• One or more of your computer’s connection ports aren’t working properly.
• Settings on your computer regarding the device have been improperly configured.
• The component itself isn’t working due to being damaged or dirty.
• Unplug the faulty device from your computer, then plug it back in (to another port, if you can).
• Go to your Control Panel and change your settings (start with “Ease of Access”).
• Clean the faulty device (taking it apart if you need to), or get it repaired or replaced.

8. My computer suddenly freezes while I’m using it.

You’re using your computer normally, when all of a sudden, the screen stops moving and your input devices don’t respond. It happens to most of us every once in a while, but if it happens repeatedly, you may have a bigger problem on your hands.

• A software program on your computer has experienced an error.
• One or more of your computer’s processes is taking up too much memory and CPU power.
• Open your Task Manager and stop programs that aren’t responding.
• Open your Task Manager and stop processes that are taking up a lot of memory or CPU power.

9. I think my computer has installed a virus or other form of malware.

As we’ve discussed, a virus or malware program can be responsible for all sorts of nasty things that happen to your computer: it slows down, unwantedly runs or changes programs, sporadically restarts or shuts down, repeatedly crashes, and more. Fortunately, its possible causes are relatively limited, and there’s quite a bit that you can do about one.

• You opened or downloaded a file that contained a malware program.
• You connected a device to your computer whose files were infected with malware.
• You visited a website that was infected with malware.
• Disconnect all removable disk drives from your computer.
• Download, install, and update the Microsoft Malicious Software Removal Tool .
• Download, install, and update a leading antivirus program .
• Disconnect your computer from the Internet.
• Reboot your computer in Safe Mode .
• Run the Malicious Software Removal Tool and the antivirus program you installed.
• Re-connect to the Internet.
• Make sure your computer’s built-in Microsoft Security Features are operating and up-to-date.
• Know how to spot and avoid unsafe files and sites on the Internet .
• Install browser extensions to detect and block malware before it reaches your computer.

10. My computer can’t maintain a connection to the Internet.

You can’t use a web browser or other Internet-related service because you can’t connect to the Internet. Or, while you’re using the Internet, you get an error message because your computer has disconnected.

• Your Internet router may not be plugged in or working properly.
• There may be too much distance or interference between your computer and your router.
• The driver for your computer’s network card may be out of date.
• Your computer’s network card may not be receiving the power it needs.
• Make sure your Internet router is plugged in and working. If not, repair or replace it.
• Move your computer closer to your router, and/or move obstacles out of the way.
• Update the driver program for your computer’s network card.
• Go to “Wireless Adapter Settings” in “Power Options” and set to “Maximum Performance.”
• Call your Internet Service Provider and inquire about the problem.

If you’re not quite sure what the problem is, or none of those solutions worked for you, our tips below might help you get your computer up and running again.

1. Turn it off, and then turn it on again.

Shutting down and restarting your computer resets programs and processes that may have been experiencing errors or glitches. This will usually solve minor problems quickly and easily.

2. If you don’t know something, ask!

Write down information that you don’t quite understand as it appears while you troubleshoot, like error messages. Then, discuss it with a computer-savvy friend or family member, or look it up online. Chances are good that someone else knows what it means and what to do about it.

3. Start with simple fixes, and then rule out possibilities from there.

Save yourself time, money, and hassle by starting with the easy solutions first, then trying more complicated fixes if those don’t work.

4. Check your device connections.

Something on your computer may not be working simply because it isn’t plugged in properly, or at all. Make sure all parts are secured snugly to each other and that all sockets are working normally.

5. Boot your computer in Safe Mode.

Starting your computer in Safe Mode disables some advanced functions of your computer. If Safe Mode works fine but a normal boot-up doesn’t, you’ll know that your computer has a problem with something like its device drivers, a rogue start-up program, or a faulty peripheral device.

6. Keep your programs up-to-date.

Updating your software can not only potentially fix current computer problems, but it may prevent future ones by fixing glitches and other security vulnerabilities that can be exploited.

7. If all else fails, re-install the operating system.

This will reset everything, including (theoretically) any programs, malware, or faulty settings that were giving your computer trouble. Make sure to back up your data before you do this, though, because you’ll need to load it back onto the system afterwards.

Now you have some basic knowledge for how to fix your computer if something goes wrong with it! For more info on how to make your computer and Internet experiences as smooth as possible, visit our Internet 101 section. Or check out our entire Technology Basics  category, which includes the Digital Literacy section with information and tips on mastering all things digital!

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How to Think like a Programmer When Problem Solving

How do programmers tackle problem-solving let’s take a look “under the hood”..

Christopher McFadden

Muhammad Baja Aksha/Flickr

Do you want to learn to problem-solve like a computer programmer? Then you have come to the right place.

Here we explore how the average programmer tackles problems and suggest ways to help you do the very same. A better, more efficient problem-solving future awaits you. 

At least in theory. 

RELATED: 9 OF THE FUNNIEST PROGRAMMER MEMES RIGHT NOW

What is problem-solving in programming?

Before we begin, it might be worth nailing out what problem-solving tends to mean for programmers. 

According to the School of Computing at the University of Utah , it is often defined as:

“Problem-solving [is] solving problems is the core of computer science. Programmers must first understand how a human solves a problem , then understand how to translate this ‘algorithm’ into something a computer can do, and finally how to ‘write’ the specific syntax (required by a computer) to get the job done.”

Sounds simple on the surface, but, as you are about to find out, it is actually something of an “art” more so than a science (to a certain extent).

Hold on tight…

How do you think like a programmer?

Steve Jobs famously said that “everyone in this country should learn to program a computer because it teaches you to think”. This is a very powerful message and doesn’t necessarily mean you need to become the next Ada Lovelace , Steve Wozniak , or Bill Gates .

Developing “soft skills” or “meta-skills” like learning how to think clearly and critically will pay dividends in many aspects of your life.

Especially in your professional career , whichever route you have chosen to take, be it an engineer or not. 

Along with other important “ meta-skills ” like perspective-taking, pain-spotting, story-telling, interviewing, and connecting the dots, mastering this skill is widely considered essential in our technologically complex world. In fact, many employers prioritize problem-solving, and basic coding to a certain extent, over most other skills when looking for potential new hires. 

“Problem-solving skills are almost unanimously the most important qualification that employers look for….more than programming languages proficiency, debugging, and system design.

Demonstrating computational thinking or the ability to break down large, complex problems is just as valuable (if not more so) than the baseline technical skills required for a job.” — Hacker Rank . 

So how can you develop such a skill? Well, one way is to attempt to think like a programmer. 

If you know any in your friend group your first port of call could be to have a frank and open discussion on this. It may feel awkward in the beginning, but you will quickly learn and love the process.

But, essentially, programmers learn, usually through trial and error, to become progressively more effective at problem-solving. Most people, unless you have developed a robust system, will likely involve something like the following: 

1. Attempt a solution.

2. If it doesn’t work, try another one.

3. If that also fails, rinse and repeat step 2 until you find something that works (perhaps through luck).

While it sounds like a reasonable approach, this methodology is both taxing on your mental energy and, most importantly, valuable and irreplaceable time (your only real asset in life). This is, in effect, the brute force method of solving problems. 

Programmers are masters of a more subtle and effective way of doing this through a plan, do, check, act strategy. This involves, in effect: 

1. Having a framework approach to tackling a problem.

2. Practice, learn from mistakes, review, and improve until you master it.

While, initially, this takes a big investment of your time, once you are well versed in it, it will pay dividends in the future.  You should also attempt to nurture some other life-style habits (like those of Elon Musk ) that will stand you in good stead when problem-solving using a programmer mindset.

How can I improve my programming problem-solving skills and develop a programmer mindset?

As we have previously mentioned, the best way is to develop a framework to problem-solve and then practice, practice, practice. But what does it mean to have a framework for problem-solving?

There is a vast library on just this subject, but in essence, a problem-solving framework will have some, if not all, of the following main components:

1. Break down an understand the issue at hand

The first step in your problem-solving framework should be to attempt to know exactly what is being asked, or required. Many, apparently insurmountable, problems are just so because we do not initially understand them in totality. 

So, how do you do this? One indicator that you’ve grasped the issue is by being able to explain it in plain English, or even a diagram. 

By thinking, and vocalizing, the problem you will quickly find the holes in logic, or your own understanding that you might have missed beforehand. This is one process that most programmers will be keenly aware of. 

Write down the problem, have a crack at sketching it out (perhaps using a mind map ), and try to explain it to someone else. 

2. Failing to plan, is planning to fail (make a plan and break down a large problem into smaller ones)

The next step is to try to formulate a plan of attack. Like anything in life, never start something until you’ve done this (especially things like investing your money ). 

Break down larger problems into smaller, more digestible chunks and think of ways to tick them off the list. You probably developed something similar to this during your time studying at university or any other time in your life. 

For programmers, they do not dive straight in without getting this phase sorted. The time invested at this stage will save you a ton of wasted time later down the road.

This is the programmer mindset.

Try to answer a question like, “given an input, what are the steps I need to return another output?”, etc. Not to mention a network of “ if this then that , or something else” set of instructions.

This is critical for programmers as they need to develop subroutines, functions,  methods, and procedures, and other smaller bits of code, that must work as a whole.

An error in one can, and usually will, impact other parts of the code and can even lead to issues like infinite loops . By working through each stage of the main problem in this way, errors and solutions can be tackled as and when they crop up.

It is also not unusual for a hang-up to require problem-solving in multiple smaller self-contained chunks of code too. This is, in essence, a way of connecting the dots.

On a side note, this is also one of the main reasons comments are used in code by programmers. Especially when working as part of a team (no one can read another’s mind).

But, we digress.

You should not be afraid to ask for help, or so some research. You may not have to reinvent the wheel. But DO NOT rely on other’s solutions to your problems as you won’t learn and develop your own mind and skill in a particular area.

“ If I could teach every beginning programmer one problem-solving skill, it would be the ‘reduce the problem technique’…

Reduce the problem to the point where you know how to solve it and write the solution. Then expand the problem slightly and rewrite the solution to match, and keep going until you are back where you started.” – V. Anton Spraul.

3. “Stay on target”, you can and will get stuck at times

“The best-laid plans of mice and men  often go awry,” as Robert Burns famously said. Don’t worry, this is to be expected, and often embraced.

But, what do you do when you can’t solve a problem , especially when programming?

While many will throw up their hands at the first sight of a problem, or solution that fails, most programmers have developed an attitude of curiosity towards “ bugs “.

Not to mention a determination to fix them.

When they crop up, programmers will usually initiate a process, a mental function if you will, of the following:

• Engage in a debugging process by going step by step through their written solution to find obvious problems (like misuse of syntax). 
• If that fails, reassess by taking a step back and try to “find another angle” to the problem. Can anything be abstracted or are you missing something? In other words are you “missing the forest for the trees”? It is very, very common to get so bogged down in the detail that you often miss the bigger picture.
• If all fails, you can simply start all over again — you’d be amazed at what solutions can be found.

4. Practice makes perfect

A little cliche? Perhaps, but you can’t expect to solve all complex problem or sub-problem, overnight. Being good at anything takes time to practice, fail, try again, and master. 

As you build up your experience in problem-solving, the process will become quicker and quicker as you identify methods that you have used previously that can be applied in a given situation. In fact, many of the most successful people regularly partake in “mini-problem-solving” regularly. 

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Some play chess, others sudoku, yet others crosswords or even computer games, on a regular basis. Try to find one that you enjoy and work that grey matter!

And, probably most importantly of all, do not fear failure. You will learn far more from where you mess up than you ever do from where you succeed.  Learn to fail , and fail fast! 

And that’s a wrap. Your path to problem-solving as a programmer awaits!

Good luck traveler. 

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Computer Basics  - Basic Troubleshooting Techniques

Computer basics  -, basic troubleshooting techniques, computer basics basic troubleshooting techniques.

Computer Basics: Basic Troubleshooting Techniques

Lesson 19: basic troubleshooting techniques.

/en/computerbasics/creating-a-safe-workspace/content/

Troubleshooting

Do you know what to do if your screen goes blank? What if you can't seem to close an application, or can't hear any sound from your speakers? Whenever you have a problem with your computer, don't panic! There are many basic troubleshooting techniques you can use to fix issues like this. In this lesson, we'll show you some simple things to try when troubleshooting, as well as how to solve common problems you may encounter.

General tips to keep in mind

There are many different things that could cause a problem with your computer. No matter what's causing the issue, troubleshooting will always be a process of trial and error —in some cases, you may need to use several different approaches before you can find a solution; other problems may be easy to fix. We recommend starting by using the following tips.

• Write down your steps : Once you start troubleshooting, you may want to write down each step you take. This way, you'll be able to remember exactly what you've done and can avoid repeating the same mistakes. If you end up asking other people for help, it will be much easier if they know exactly what you've tried already.
• Take notes about error messages : If your computer gives you an error message , be sure to write down as much information as possible. You may be able to use this information later to find out if other people are having the same error.

• Restart the computer : When all else fails, restarting the computer is a good thing to try. This can solve a lot of basic issues you may experience with your computer.

Using the process of elimination

If you're having an issue with your computer, you may be able to find out what's wrong using the process of elimination . This means you'll make a list of things that could be causing the problem and then test them out one by one to eliminate them. Once you've identified the source of your computer issue, it will be easier to find a solution.

Let's say you're trying to print out invitations for a birthday party, but the printer won't print. You have some ideas about what could be causing this, so you go through them one by one to see if you can eliminate any possible causes.

First, you check the printer to see that it's turned on and plugged in to the surge protector . It is, so that's not the issue. Next, you check to make sure the printer's ink cartridge still has ink and that there is paper loaded in the paper tray . Things look good in both cases, so you know the issue has nothing to do with ink or paper.

Now you want to make sure the printer and computer are communicating correctly . If you recently downloaded an update to your operating system , it might interfere with the printer. But you know there haven't been any recent updates and the printer was working yesterday, so you'll have to look elsewhere.

You check the printer's USB cord and find that it's not plugged in. You must have unplugged it accidentally when you plugged something else into the computer earlier. Once you plug in the USB cord, the printer starts working again. It looks like this printer issue is solved!

This is just one example of an issue you might encounter while using a computer. In the rest of this lesson, we'll talk about other common computer problems and some ways to solve them.

Simple solutions to common problems

Most of the time, problems can be fixed using simple troubleshooting techniques, like closing and reopening the program. It's important to try these simple solutions before resorting to more extreme measures. If the problem still isn't fixed, you can try other troubleshooting techniques.

Problem: Power button will not start computer

• Solution 1 : If your computer does not start , begin by checking the power cord to confirm that it is plugged securely into the back of the computer case and the power outlet.
• Solution 2 : If it is plugged into an outlet, make sure it is a working outlet . To check your outlet, you can plug in another electrical device , such as a lamp .

• Solution 4 : If you are using a laptop , the battery may not be charged. Plug the AC adapter into the wall, then try to turn on the laptop. If it still doesn't start up, you may need to wait a few minutes and try again.

Problem: An application is running slowly

• Solution 1 : Close and reopen the application.

Problem: An application is frozen

Sometimes an application may become stuck, or frozen . When this happens, you won't be able to close the window or click any buttons within the application.

• Solution 2 : Restart the computer. If you are unable to force quit an application, restarting your computer will close all open apps.

Problem: All programs on the computer run slowly

• Solution 2 : Your computer may be running out of hard drive space. Try deleting any files or programs you don't need.
• Solution 3 : If you're using a PC , you can run Disk Defragmenter . To learn more about Disk Defragmenter , check out our lesson on Protecting Your Computer .

Problem: The computer is frozen

Sometimes your computer may become completely unresponsive, or frozen . When this happens, you won't be able to click anywhere on the screen, open or close applications, or access shut-down options.

• Solution 3 : Press and hold the Power button. The Power button is usually located on the front or side of the computer, typically indicated by the power symbol . Press and hold the Power button for 5 to 10 seconds to force the computer to shut down.
• Solution 4 : If the computer still won't shut down, you can unplug the power cable from the electrical outlet. If you're using a laptop, you may be able to remove the battery to force the computer to turn off. Note : This solution should be your last resort after trying the other suggestions above.

Problem: The mouse or keyboard has stopped working

• Solution 2 : If you're using a wireless mouse or keyboard, make sure it's turned on and that its batteries are charged.

Problem: The sound isn't working

• Solution 1 : Check the volume level. Click the audio button in the top-right or bottom-right corner of the screen to make sure the sound is turned on and that the volume is up.
• Solution 2 : Check the audio player controls. Many audio and video players will have their own separate audio controls. Make sure the sound is turned on and that the volume is turned up in the player.
• Solution 3 : Check the cables. Make sure external speakers are plugged in, turned on, and connected to the correct audio port or a USB port. If your computer has color-coded ports, the audio output port will usually be green .

Problem: The screen is blank

• Solution 1 : The computer may be in Sleep mode. Click the mouse or press any key on the keyboard to wake it.
• Solution 2 : Make sure the monitor is plugged in and turned on .
• Solution 3 : Make sure the computer is plugged in and turned on .
• Solution 4 : If you're using a desktop, make sure the monitor cable is properly connected to the computer tower and the monitor.

Solving more difficult problems

If you still haven't found a solution to your problem, you may need to ask someone else for help. As an easy starting point, we'd recommend searching the Web . It's possible that other users have had similar problems, and solutions to these problems are often posted online. Also, if you have a friend or family member who knows a lot about computers, they may be able to help you.

Keep in mind that most computer problems have simple solutions, although it may take some time to find them. For difficult problems, a more drastic solution may be required, like reformatting your hard drive or reinstalling your operating system. If you think you might need a solution like this, we recommend consulting a professional first. If you're not a computer expert, it's possible that attempting these solutions could make the situation worse.

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Problem Solving in Computer Science: What Does It Really Mean?

Teacher scholar voices.

A Daunting Challenge

Many of my students complain when asked to read technical literature, despite my efforts to make it fun and relevant. Especially in my most advanced computer science class, it becomes difficult to use material that is exciting and topical for my students because the choice of reading is ultimately out of my hands. By the end of the year, on the Advanced Placement Computer Science A exam, students must be able to read and respond to approximately 8 pages of obscure (and sometimes bizarre) scenarios related to programming in Java. The first time I asked my students to practice responding to one such Free Response Question (FRQ), one in five students simply left it blank and took a nap. 

Weeks of practicing FRQs went by but there were no changes in how my students responded to the task. I was confused by their lackluster efforts, and my students were frustrated that they were continually asked to engage in “boring” assignments. However, I knew that if my students were going to be successful on the exam, they would need to attempt to respond to these questions and respond to them correctly. More importantly, through the regular practice of responding to such questions, they would begin to develop critical abstract reasoning skills, whose importance extends well beyond the AP exam. Simple, right?

Reading Comprehension: the Root of the Problem

Honestly, I had no idea how to tackle this problem at first. However, with the support of my Mills Teacher Scholars inquiry colleagues, we began to notice that many of my students were not responding to the FRQ prompt in full, even though they appeared to be engaged in the task the entire time. I felt that the problem was rooted in reading comprehension. So, to support my students’ deeper comprehension of these technical texts, I decided to focus my inquiry on building classroom practices that develop annotation skills. I spent the next six months with my inquiry group refining a series of weekly activities that involved circling key vocabulary terms, underlining prompts, jotting down ideas in margins, and then attempting a response to the questions that fell out of each reading. After students individually practiced their annotation skills, they would act as public learners for each other, guiding the class through their thinking about the text. By the end of my inquiry, 86.5% of my students were naturally utilizing these annotation skills for the FRQs. I was delighted to see that they were developing their critical reading abilities. However, their actual scores never changed. 

Confidence Matters Too

I was so confused! How could my students complete our reading comprehension strategies and still exhibit the same response behaviors seen at the beginning of the year? Why was it so difficult to simply put pen to paper and attempt a response? What did they have to lose? I took these mixed feelings back to my inquiry colleagues, who suggested that it might be enlightening to interview three focal students. 

After compiling the interview transcripts, I went back to my inquiry group, hoping that my colleagues might help me fill in this blind spot. Their questions challenged my assumptions, ultimately allowing me to focus on a new culprit: my students did not feel confident enough to try. For example, one of my students said, “I know how to read. I just don’t know how to respond. So what is the point of trying if I know I’m going to get it wrong?”  This was really surprising to hear. I thought I knew how they felt; I thought they were confident in their abilities to solve problems through code. My focus on reading comprehension had not been enough. I needed to figure out how to develop their confidence as problem solvers, too.

A Question Leads to New Questions

The quest to understand students’ learning lasts much longer than one school year. This year’s struggle motivates me to seek out answers to related questions in the coming fall. For instance, what builds confidence over time in a computer science course, and what changes for students’ identities as learners over time? I have started mulling over instructional strategies that balance “engagement” with rigorous exposure to CS. Most of the time, it feels like engagement and rigor are at odds with each other, especially when you begin to integrate notions of an “appropriate” CS education from some of the field’s most prominent minds. In his essay “On the Cruelty of Really Teaching Computer Science,” E.W. Dijkstra wrote that students should spend their first CS class writing formal proofs about the correctness of their programs. While this approach may be academically rigorous, I am not sure it engages students who still need to be sold on the idea of computer science. My most recent inquiry has started me thinking that a student’s confidence is buried in the slim overlap between rigorous exposure to subject matter and engaging learning experiences. This multifaceted question can feel daunting to address as an individual educator. However, I am not alone. I know that I can continue to lean on future cycles of inquiry, as well as the wonderful community of instructors who, like me, are set on figuring it all out.

My colleagues' questions challenged my assumptions, ultimately allowing me to focus on a new culprit: my students did not feel confident enough to try.

Related Content

Educator mindsets matter: building self awareness of equity traps, imposter syndrome. it’s not for me., a year spent reflecting on reflection.

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Overview of the Problem-Solving Mental Process

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Rachel Goldman, PhD FTOS, is a licensed psychologist, clinical assistant professor, speaker, wellness expert specializing in eating behaviors, stress management, and health behavior change.

• Identify the Problem
• Define the Problem
• Form a Strategy
• Organize Information
• Allocate Resources
• Monitor Progress
• Evaluate the Results

Frequently Asked Questions

Problem-solving is a mental process that involves discovering, analyzing, and solving problems. The ultimate goal of problem-solving is to overcome obstacles and find a solution that best resolves the issue.

The best strategy for solving a problem depends largely on the unique situation. In some cases, people are better off learning everything they can about the issue and then using factual knowledge to come up with a solution. In other instances, creativity and insight are the best options.

It is not necessary to follow problem-solving steps sequentially, It is common to skip steps or even go back through steps multiple times until the desired solution is reached.

In order to correctly solve a problem, it is often important to follow a series of steps. Researchers sometimes refer to this as the problem-solving cycle. While this cycle is portrayed sequentially, people rarely follow a rigid series of steps to find a solution.

The following steps include developing strategies and organizing knowledge.

1. Identifying the Problem

While it may seem like an obvious step, identifying the problem is not always as simple as it sounds. In some cases, people might mistakenly identify the wrong source of a problem, which will make attempts to solve it inefficient or even useless.

Some strategies that you might use to figure out the source of a problem include :

• Asking questions about the problem
• Breaking the problem down into smaller pieces
• Looking at the problem from different perspectives
• Conducting research to figure out what relationships exist between different variables

2. Defining the Problem

After the problem has been identified, it is important to fully define the problem so that it can be solved. You can define a problem by operationally defining each aspect of the problem and setting goals for what aspects of the problem you will address

At this point, you should focus on figuring out which aspects of the problems are facts and which are opinions. State the problem clearly and identify the scope of the solution.

3. Forming a Strategy

After the problem has been identified, it is time to start brainstorming potential solutions. This step usually involves generating as many ideas as possible without judging their quality. Once several possibilities have been generated, they can be evaluated and narrowed down.

The next step is to develop a strategy to solve the problem. The approach used will vary depending upon the situation and the individual's unique preferences. Common problem-solving strategies include heuristics and algorithms.

• Heuristics are mental shortcuts that are often based on solutions that have worked in the past. They can work well if the problem is similar to something you have encountered before and are often the best choice if you need a fast solution.
• Algorithms are step-by-step strategies that are guaranteed to produce a correct result. While this approach is great for accuracy, it can also consume time and resources.

Heuristics are often best used when time is of the essence, while algorithms are a better choice when a decision needs to be as accurate as possible.

4. Organizing Information

Before coming up with a solution, you need to first organize the available information. What do you know about the problem? What do you not know? The more information that is available the better prepared you will be to come up with an accurate solution.

When approaching a problem, it is important to make sure that you have all the data you need. Making a decision without adequate information can lead to biased or inaccurate results.

5. Allocating Resources

Of course, we don't always have unlimited money, time, and other resources to solve a problem. Before you begin to solve a problem, you need to determine how high priority it is.

If it is an important problem, it is probably worth allocating more resources to solving it. If, however, it is a fairly unimportant problem, then you do not want to spend too much of your available resources on coming up with a solution.

At this stage, it is important to consider all of the factors that might affect the problem at hand. This includes looking at the available resources, deadlines that need to be met, and any possible risks involved in each solution. After careful evaluation, a decision can be made about which solution to pursue.

6. Monitoring Progress

After selecting a problem-solving strategy, it is time to put the plan into action and see if it works. This step might involve trying out different solutions to see which one is the most effective.

It is also important to monitor the situation after implementing a solution to ensure that the problem has been solved and that no new problems have arisen as a result of the proposed solution.

Effective problem-solvers tend to monitor their progress as they work towards a solution. If they are not making good progress toward reaching their goal, they will reevaluate their approach or look for new strategies .

7. Evaluating the Results

After a solution has been reached, it is important to evaluate the results to determine if it is the best possible solution to the problem. This evaluation might be immediate, such as checking the results of a math problem to ensure the answer is correct, or it can be delayed, such as evaluating the success of a therapy program after several months of treatment.

Once a problem has been solved, it is important to take some time to reflect on the process that was used and evaluate the results. This will help you to improve your problem-solving skills and become more efficient at solving future problems.

A Word From Verywell​

It is important to remember that there are many different problem-solving processes with different steps, and this is just one example. Problem-solving in real-world situations requires a great deal of resourcefulness, flexibility, resilience, and continuous interaction with the environment.

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You can become a better problem solving by:

• Practicing brainstorming and coming up with multiple potential solutions to problems
• Being open-minded and considering all possible options before making a decision
• Breaking down problems into smaller, more manageable pieces
• Asking for help when needed
• Researching different problem-solving techniques and trying out new ones
• Learning from mistakes and using them as opportunities to grow

It's important to communicate openly and honestly with your partner about what's going on. Try to see things from their perspective as well as your own. Work together to find a resolution that works for both of you. Be willing to compromise and accept that there may not be a perfect solution.

Take breaks if things are getting too heated, and come back to the problem when you feel calm and collected. Don't try to fix every problem on your own—consider asking a therapist or counselor for help and insight.

If you've tried everything and there doesn't seem to be a way to fix the problem, you may have to learn to accept it. This can be difficult, but try to focus on the positive aspects of your life and remember that every situation is temporary. Don't dwell on what's going wrong—instead, think about what's going right. Find support by talking to friends or family. Seek professional help if you're having trouble coping.

Davidson JE, Sternberg RJ, editors.  The Psychology of Problem Solving .  Cambridge University Press; 2003. doi:10.1017/CBO9780511615771

Sarathy V. Real world problem-solving .  Front Hum Neurosci . 2018;12:261. Published 2018 Jun 26. doi:10.3389/fnhum.2018.00261

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Problem-Solving Skills for Software Developers: Why & How to Improve

Problem-solving skills go hand-in-hand with software development. Learn some great problem-solving techniques and tips for improvement here!

Software developer jobs today require that you possess excellent problem-solving skills , and for good reason. Unfortunately, there seems to be a sort of talent gap when it comes to this one skill required of all software developers.

Troubleshooting and problem resolution are both informally and formally taught, but you mostly find that software developers have to learn problem-solving skills on their own. This is true for self-taught developers , obviously, but also even for those with software engineering degrees or who’ve graduated from coding boot camps.

This is why it’s necessary to acquaint yourself with the problem-solving process, whether you are a newbie or an experienced developer. In this article, we’ll explore everything you need to know about problem-solving so you can 10x your software development career.

What are Problem-Solving Skills?

As a developer, what do we mean by problem-solving? Let’s attempt a simple definition.

In software development, problem-solving is the process of using theories and research to find solutions to a problem domain, while testing different ideas and applying best practices to achieve a desired result. Problem-solving also has to do with utilizing creativity and logical thought processes to identify problems and resolve them with software.

Becoming a great software developer hinges more on learning algorithms than programming languages or frameworks . And algorithms are simply step-by-step instructions to solve a given problem.

Read More : How to Build a Software Engineer Portfolio (With Examples & Tips)

Why are impeccable problem-solving skills crucial?

Making good use of a computer language can be likened to being a skilled writer. An effective writer must know how to construct sentences and use grammar appropriately. There’s more to writing than just knowing all the words in the dictionary, and that’s how it works for developers, too.

You have different tasks to work on as a software developer, including perhaps designing, coding, and troubleshooting. Much of your time will be spent on identifying problems, spotting and correcting bugs, and making sense of codebases from before you started working there. Being ingenious at problem-solving is essential in creating incredible solutions to issues that arise throughout software development.

To demonstrate ingenuity, let’s consider Google’s autocomplete tool as an example.

The autocomplete tool is built to suggest related terms in the search bar as you type. The idea behind the tool is to reduce more than 200 years of time spent typing daily and to help users save time by up to 25% while typing.

Here’s what had to be done:

• To activate real-time completion of suggestions, the UI experience and JavaScript had to be implemented.
• Next, since users could type just about anything, the autocomplete suggestions had to be compiled into a sensible list dependent on user input.
• Then, Google had to create a back-end sustainability system for this function. Doing this meant massively increasing its infrastructure to accommodate all forms of data query and HTTP requests.
• Finally, the user interface had to be refined by software engineers in order to make sure that every user enjoyed a worthwhile experience. So they employed Google Trends to power the auto-completion tool while using algorithms to take out explicit or offensive predictions in line with Google’s auto-completion policy.

This is just one of Google’s innumerable problem-solving examples, but it’s clear to see that solving problems involves more than just telling a computer to do stuff. It’s about your ability to come up with parameters rightly tailored to target users so they can meet their goals.

So why must developers focus on problem-solving at work?

Software developers work with a wide range of people and departments, and it’s common to discover that some clients and teams find it difficult to define what they want. As a problem solver, it’s up to you to help them identify their needs and communicate their thoughts in an effective way.

Of course, you’ll need time and practice to develop your problem resolution ability. That’s because it’s less about solving problems faster but more about coming up with the best solution . And then you’ll need to deploy that solution.

Read More : Common Interview Questions for Software Developer Jobs (Non-Technical)

Types of problem-solving skills

Now let’s talk about four types of problem-solving skills for developers:

1.  Parallel thinking

As a software developer, parallel thinking is a crucial skill necessary to perform optimally. This makes it possible for you to carry out two tasks that complement each other at the same time (like an optimized form of multitasking skills). Being able to reorder tasks to boost parallel execution can help to improve your output and save valuable time .

2. Dissecting broad and/or complex goals

When it comes to building software, you will need to effectively outline the steps and tasks necessary to achieve your goal. Developers must learn to break large and complex tasks into smaller assignments because this is an important skill that will help you create results with precision.

3. Reimplementing existing solutions

You don’t always need to reinvent the wheel. Part of being an effective software developer comes with being able to use already existing tools before even thinking of creating new solutions. Developing problem-solving skills is very much connected to finding solutions that already exist and reusing them.

4. Abstraction

Keep in mind that goals tend to evolve. So if your client comes up with new ideas, that will mean changing your design goals and reordering your tasks. A good programmer must learn to create solutions in such a way that does not require a complete redesign from scratch.

You also have to become adept at abstracting problems so that your solutions can get them resolved so long as they aren’t entirely different from the original issue. You don’t necessarily have to abstract every aspect to avoid more complications being created. This calls for balance by abstracting only where necessary without making narrow decisions.

Read More : Learn 8 Great Benefits of Working From Home

4 Important Tips & Strategies for Improving Problem-Solving Skills

To keep your problem-solving skills and techniques from growing weaker over time, you need to exercise them non-stop. As they say: practice makes perfect!

To train the problem-solving side of your brain, these four tips and strategies can help you improve your abilities:

1. Make problem-solving a part of your life

Never restrict yourself to working on problems only during work hours. Don’t make it a chore, but, instead, do things that make problem-solving look fun. The game of chess, solving puzzles, and playing video games that compel you to think critically will help strengthen your problem-solving skills, and you can tell your significant other you are advancing your career! 🙂

When you come to a complex problem in your life, whether it’s budgeting for a home or renovating the downstairs bathroom, approach it both creatively and critically. Ask yourself: What would a great software engineer do in this situation?

2. Use different platforms to solve problems

Proffer solutions to a set of problems without restricting yourself to one platform. Using different platforms and tools regularly helps make sure you become flexible as a problem-solver. And it makes sense, because there really is no universal solution for the different problems that pop up in your line of work. Trying out different platforms to solve different problems helps you to keep an open mind and enables you to test out different techniques when looking to find solutions.

Read More : 12 Common Mistakes Keeping You From Landing Your First Developer Job

3. Be open to assistance from external sources

Part of being a good software developer comes with being able to ask for help and also accept all forms of feedback. You might need a different opinion or a new set of eyes to help find the most fitting solution to some problems. It makes sense to view building problem-solving skills as more of a team effort rather than a personal journey.

Have an open mind and heart to function not only as an individual but also as a collective. It’s a utopian working environment where everyone supports each other to become better versions of themselves. So if you come across an issue that keeps you stuck, get help! You may find someone who has a more refined framework or method you never knew existed or would have thought of using. You could then learn from them and add their solution to your toolkit.

Get feedback often, as well. This could be the catalyst to making improvements to your processes and evolving them into something truly refined.

4. Tackle new problems using lessons from past solutions

As you practice and finesse your ability to identify problems and find solutions, you’ll begin to notice patterns. It’s more like developing your toolbox armed with a wide range of solutions that have proved useful in the past. So when problems emerge, you will notice how easy it is to take some of those old solutions and apply them to the new problem.

The more you attempt to apply creativity in solving problems, the more you grow your skills. In the long run, that will help you find the right solutions faster and apply them to a wide range of problems more naturally. It’s all about improving the effectiveness and efficiency with which you tackle new problems while applying only the best possible solutions.

Read More : How to Stay Motivated at Work

3 Complementary Skills to Improve to Become a Good Problem Solver

Developing software is mostly about problem-solving at the very core before even writing your first lines of code. You have to identify problems that can be solved using software. Then you have to go on to understand how people try to solve such problems in real life.

It’s up to you to come up with a framework that allows you to take both the problem and the solution and convert them into computer code. And you have to do this in such a way that makes the software even more efficient and effective than a human.

While going through this process, developers also have to handle other problems such as deadline deliveries, checking for bugs and fixing them, and collaborate across teams. So, supporting skills must not be overlooked.

Software developers must build interpersonal skills and collaboration skills . Being able to empathize, accept feedback, handle criticism, listen intently, and show respect for others are all important characteristics and abilities necessary for teamwork, and, thus, necessary for solving problems on the job.

Read More : 5 Ways to Stand Out & Get Noticed in Your Current Development Job

Communication

No one is an island, and that’s true when you consider how software engineers work. Building software requires keeping up with clients and teammates and other departments. You can’t afford to be a Lone Ranger, at least not 100% of the time, and that’s why employers always look for good communication skills.

Being a good software developer also involves how well you can break down very complex concepts to laypeople. You want to be the kind of person who fixes a problem and is able to explain how you were able to do it. It’s all about your ability to be clear and articulate about every aspect of your work. And you want to be able to communicate not just verbally but also in written form.

To build your communication skills as a developer, you can learn from more experienced people and observe how they interact with their clients. And, don’t forget, with more and more companies becoming global enterprises and going remote, it’s important to brush up on your intercultural communication skills , as well.

Logical thinking

The difference between elite software developers and average ones is often said to be logical thinking. The ability to process thoughts logically is important, because you’ll often spend most of your time finding and fixing bugs rather than writing code.

Problems can show up from just about anywhere, even from what seems to be the most insignificant errors. So, your ability to detect software issues and solve these problems using deductive thought processes is a vital ingredient to your success as a software developer.

Read More : Questions to Ask at Interviews for Software Engineering Jobs

Problem-Solving Stages & Practices

There are countless problem-solving processes and various schools of thought regarding the best way to approach problems whenever they arise. To solve that problem, we’ve pooled some of these frameworks together to come up with a comprehensive approach to problem-solving.

Step 1 – Define the problem

You have to first start with problem identification. Knowing what you are dealing with is important, because you don’t want to risk spending valuable time applying wrong solutions. Avoid making automatic assumptions. Even when the symptoms look familiar, you want to investigate properly because such signs could be pointing to something else entirely.

Problems in software development come in different sizes and scopes. You could be having trouble getting some aspects of the product to respond in the desired way. Or maybe you’re having issues trying to decipher a codebase section where you can no longer communicate with the original developers. Sometimes, the problem could come in the form of an unfamiliar error message and you’re at loss.

Once you’re able to define the problem, make sure to document it.

Step 2 – Analyze the problem

Now it’s time to carry out problem analysis . Before deciding what problem resolution methods to adopt, it’s necessary to find out all there is to the issue, which builds on our first step. This will make it easier to come up with ideas and solutions later on.

Problem analysis isn’t always a walk in the park. There are times when the problem involves a very small mistake such as failing to import a package correctly or a small syntax error. Other times, however, it could be such a huge error, like the entire program acting differently than what you want. There might be no alarms or blinking red lights to tell you what the exact problem is.

If you encounter such situations, you can find answers by articulating the problem. Document what you intend to do, what you’ve done, the original intention for the program, and where you currently are. Communication comes in handy here, of course, not just in your documentation, but also in how you relay it to your teammates.

Read More : Got a Busy Developer Schedule? Here’s How to Keep Learning & Make Time

Step 3 – Brainstorm

This step has to do with generating ideas, and you can benefit from discussing the problem with a team and then coming up with ways to get it fixed. Keep in mind that problem-solving at work involves interacting with a diverse group of people where the individuals have unique skill sets and experiences.

Many developers tend to neglect the previous steps and rush straight into brainstorming. That’s definitely not a good way to go about problem-solving. The idea is not to skip the important steps in the process.

Once you get to the point where ideas need to be generated, do not discard any, because this step relies on a wide range of ideas. Only after gathering as many perspectives as possible should you then begin reviewing and narrowing down to the best possible solution.

Step 4 – Make a decision

At this point, all viable solutions have to be analyzed before selecting the most appropriate one to implement. Picking the best possible solution depends on its ability to meet certain criteria. It must be suitable, feasible, and then acceptable.

What it means is that the solution must be able to get the problem solved. It should also be easy to see how such a solution fits into the equation. And then every member of the team involved in the brainstorming process has to unanimously accept the solution.

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Step 5 – Implement

After identifying and choosing the solution, the next logical step is to plan out the implementation process and then execute it. Coming up with a detailed plan is crucial if the solution is to be a success.

Now this plan must detail all the necessary steps required to implement the solution. It will also explain the length of time and stages of work required. Once all of that is put in place, you can then move forward with the execution. The idea is not just to execute a solution but to do it the right way.

Implementation using automated tests can help to keep unexpected issues from arising in the future. Some other problem-solving practices or approaches begin the process with this step. So, whenever any changes are made to the project, tests asserting that the changes will perform as required will be written first before the changes are then made.

Step 6 – Evaluate

No problem-solving process can be deemed comprehensive enough if there is no room for evaluation. Whatever the solution may be, it has to undergo strict evaluation in order to see how it performs. That will also help determine whether the problem still exists and the extent to which such an issue keeps recurring.

In the event that the problem persists despite the implementation of a detailed plan, then the developer and team may even have to restart the problem-solving process. However discouraging that may sound, at least you’ll have caught it early enough. And, this also proves the process worked.

Read More : How to Become a Software Engineer: Education, Steps & Tips for Success

Final Thoughts

Developing problem-solving skills is quite necessary for software developers. To be a successful problem solver, you will need lots of years down the line to practice what you study.

Always remember that you are a problem solver first before anything else. There is more to building software than just understanding the tech behind it and writing lines of code. It’s all about improving your ability to identify problems and find solutions, and that will need lots of experience on your part.

Never shy away from problems, but learn to think critically and logically in any situation. By applying the six-step strategy for problem-solving at work discussed in this piece, you will be more equipped to come up with the most effective and efficient solutions.

We hope you enjoyed reading our guide on how to solve a problem as a software developer and ways to improve skills as a problem solver! If you have any questions, feedback, or other great problem-solving techniques or methods, let us know in the comments below 🙂

The Arc team publishes insightful articles and thought leadership pieces related to software engineering careers and remote work. From helping entry-level developers land their first junior role to assisting remote workers struggling with working from home to guiding mid-level programmers as they seek a leadership position, Arc covers it all and more!

Further reading

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What is Problem Solving? (Steps, Techniques, Examples)

By Status.net Editorial Team on May 7, 2023 — 5 minutes to read

What Is Problem Solving?

Definition and importance.

Problem solving is the process of finding solutions to obstacles or challenges you encounter in your life or work. It is a crucial skill that allows you to tackle complex situations, adapt to changes, and overcome difficulties with ease. Mastering this ability will contribute to both your personal and professional growth, leading to more successful outcomes and better decision-making.

Problem-Solving Steps

The problem-solving process typically includes the following steps:

• Identify the issue : Recognize the problem that needs to be solved.
• Analyze the situation : Examine the issue in depth, gather all relevant information, and consider any limitations or constraints that may be present.
• Generate potential solutions : Brainstorm a list of possible solutions to the issue, without immediately judging or evaluating them.
• Evaluate options : Weigh the pros and cons of each potential solution, considering factors such as feasibility, effectiveness, and potential risks.
• Select the best solution : Choose the option that best addresses the problem and aligns with your objectives.
• Implement the solution : Put the selected solution into action and monitor the results to ensure it resolves the issue.
• Review and learn : Reflect on the problem-solving process, identify any improvements or adjustments that can be made, and apply these learnings to future situations.

Defining the Problem

To start tackling a problem, first, identify and understand it. Analyzing the issue thoroughly helps to clarify its scope and nature. Ask questions to gather information and consider the problem from various angles. Some strategies to define the problem include:

• Brainstorming with others
• Asking the 5 Ws and 1 H (Who, What, When, Where, Why, and How)
• Analyzing cause and effect
• Creating a problem statement

Generating Solutions

Once the problem is clearly understood, brainstorm possible solutions. Think creatively and keep an open mind, as well as considering lessons from past experiences. Consider:

• Creating a list of potential ideas to solve the problem
• Grouping and categorizing similar solutions
• Prioritizing potential solutions based on feasibility, cost, and resources required
• Involving others to share diverse opinions and inputs

Evaluating and Selecting Solutions

Evaluate each potential solution, weighing its pros and cons. To facilitate decision-making, use techniques such as:

• SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
• Decision-making matrices
• Pros and cons lists
• Risk assessments

After evaluating, choose the most suitable solution based on effectiveness, cost, and time constraints.

Implementing and Monitoring the Solution

Implement the chosen solution and monitor its progress. Key actions include:

• Communicating the solution to relevant parties
• Setting timelines and milestones
• Assigning tasks and responsibilities
• Monitoring the solution and making adjustments as necessary
• Evaluating the effectiveness of the solution after implementation

Utilize feedback from stakeholders and consider potential improvements. Remember that problem-solving is an ongoing process that can always be refined and enhanced.

Problem-Solving Techniques

During each step, you may find it helpful to utilize various problem-solving techniques, such as:

• Brainstorming : A free-flowing, open-minded session where ideas are generated and listed without judgment, to encourage creativity and innovative thinking.
• Root cause analysis : A method that explores the underlying causes of a problem to find the most effective solution rather than addressing superficial symptoms.
• SWOT analysis : A tool used to evaluate the strengths, weaknesses, opportunities, and threats related to a problem or decision, providing a comprehensive view of the situation.
• Mind mapping : A visual technique that uses diagrams to organize and connect ideas, helping to identify patterns, relationships, and possible solutions.

Brainstorming

When facing a problem, start by conducting a brainstorming session. Gather your team and encourage an open discussion where everyone contributes ideas, no matter how outlandish they may seem. This helps you:

• Generate a diverse range of solutions
• Encourage all team members to participate
• Foster creative thinking

When brainstorming, remember to:

• Reserve judgment until the session is over
• Encourage wild ideas
• Combine and improve upon ideas

Root Cause Analysis

For effective problem-solving, identifying the root cause of the issue at hand is crucial. Try these methods:

• 5 Whys : Ask “why” five times to get to the underlying cause.
• Fishbone Diagram : Create a diagram representing the problem and break it down into categories of potential causes.
• Pareto Analysis : Determine the few most significant causes underlying the majority of problems.

SWOT Analysis

SWOT analysis helps you examine the Strengths, Weaknesses, Opportunities, and Threats related to your problem. To perform a SWOT analysis:

• List your problem’s strengths, such as relevant resources or strong partnerships.
• Identify its weaknesses, such as knowledge gaps or limited resources.
• Explore opportunities, like trends or new technologies, that could help solve the problem.
• Recognize potential threats, like competition or regulatory barriers.

SWOT analysis aids in understanding the internal and external factors affecting the problem, which can help guide your solution.

Mind Mapping

A mind map is a visual representation of your problem and potential solutions. It enables you to organize information in a structured and intuitive manner. To create a mind map:

• Write the problem in the center of a blank page.
• Draw branches from the central problem to related sub-problems or contributing factors.
• Add more branches to represent potential solutions or further ideas.

Mind mapping allows you to visually see connections between ideas and promotes creativity in problem-solving.

Examples of Problem Solving in Various Contexts

In the business world, you might encounter problems related to finances, operations, or communication. Applying problem-solving skills in these situations could look like:

• Identifying areas of improvement in your company’s financial performance and implementing cost-saving measures
• Resolving internal conflicts among team members by listening and understanding different perspectives, then proposing and negotiating solutions
• Streamlining a process for better productivity by removing redundancies, automating tasks, or re-allocating resources

In educational contexts, problem-solving can be seen in various aspects, such as:

• Addressing a gap in students’ understanding by employing diverse teaching methods to cater to different learning styles
• Developing a strategy for successful time management to balance academic responsibilities and extracurricular activities
• Seeking resources and support to provide equal opportunities for learners with special needs or disabilities

Everyday life is full of challenges that require problem-solving skills. Some examples include:

• Overcoming a personal obstacle, such as improving your fitness level, by establishing achievable goals, measuring progress, and adjusting your approach accordingly
• Navigating a new environment or city by researching your surroundings, asking for directions, or using technology like GPS to guide you
• Dealing with a sudden change, like a change in your work schedule, by assessing the situation, identifying potential impacts, and adapting your plans to accommodate the change.
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6 common computer problems... and how to fix them

No one likes it when your computer suddenly stops working, so we’ve listed the most common computer problems and explained how to fix each one.

The most common computer problems might be something a lot of people have to struggle with, but that doesn't mean you have to. Now you're here, you no longer need to worry about that spinning wheel of doom or the jolting error messages that come with a blue screen of death. You've found the fix.

A computer crash, when everything freezes, can be annoying at best but may be catastrophic if you're working and you end up losing your efforts. Yes, cloud storage is a great way to work to help offset this, but even that can have issues.

You may have already wisely invested in the best home computers or the best laptops , but there can still be issues. Often those issues are in the form of error messages which make little to no sense to a normal human being. That's why we're going to get ahead of the problems before they arrive, or at least know how to fix them should we run into trouble. While this guide will help you it's also worth checking out the best repair software for PC should you need to take this even further.

1. WiFi is slow or patchy

The most common issue these days that really grinds our gears is WiFi connectivity problems. Since most cloud-based programs now rely on that WiFi bandwidth to work, it has become the bottleneck through which everything else must pass. As a result, slow or inconsistent WiFi means much of what you're running can be backed up.

Slow WiFi can mean poor video chat connections on Zoom, it can mean buffering wait times for video and audio streaming, it can even mean documents are not saved properly leaving you at risk of losing work. That's all without even considering large file downloads which take up even more bandwidth. 

The fix While WiFi is a complicated beast, and everyone's setup is slightly different, the classic go-to first fix is one you probably already know and the one that works best: turn the WiFi off and on again. But there is an art to doing even this correctly. The key here is to make sure your connection is totally down, before you power on again. This means you'll be assigned a new IP address and any of your caches will be cleared. 

To do this right, go to your WiFi router and unplug it. That's a total power off, guaranteed. Then wait at least one minute. Ideally, if you can spare it, wait five for good measure. Then plug the power back in and wait for everything to get back online. This can take a good five minutes and may need a while to 'settle', so it's worth giving 10 to 15 minutes before you jump back in, ideally.

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Another good move is to restart any devices you're using, regularly. For laptops, phones and desktop computers, that means a shut down and power on at least once a day. You get to sleep and refresh, why shouldn't your hard working gadget?

To see how well this all works, carry out a speedtest first, then go through the process and do a speed test again. You may be surprised to see how much faster everything is running after this refresher. 

2. Blue Screen of Death (BSoD)

The 'blue screen of death' is one of the most recognisable computer errors that can occur, and if you’ve ever used a PC there’s a good chance that you might have encountered a blue screen of death error already.

What usually happens is that your PC will become unresponsive for a few seconds, and then the screen will turn completely blue and an error message (that’s sometimes completely indecipherable) will appear. Your PC will then restart, and if you’re lucky you won’t have lost too much work. 

While the name ‘blue screen of death‘ started off as a bit of a joke, it hints at how scary this error message can be. If you get a blue screen of death without saving your work, the resulting reboot of your PC can make you lose any changes you've made to a document.

While some blue screen of death errors are one offs, most of the time they are an indication that there’s something wrong with your PC, and there are a number of reasons why you may get a blue screen of death error. Failing hardware, corrupted software, missing DLL files or problems with drivers can be the main culprits. 

The fix The way to fix a blue screen of death error will vary depending on what caused it to appear. The good news is that in Windows 10, Microsoft has made the blue screen of death error message more useful than the baffling codes of old. 

There will also be a QR code that is displayed along with the error message. Use your smartphone to scan the QR code and you should be taken to a webpage that will explain the error message in more detail, and offer advice on how to fix it.

3. Windows is slow to boot

A slow-booting PC is one of the most common - and annoying - computer problems you can encounter. Luckily, it’s also one of the easiest to fix. There are several reasons why your PC will take a long time to load up - but the most common cause is that there will be too many programs trying to load up in the background when Windows starts.

You may notice when you install a new program that it sets itself to load when you first log into Windows. While this can sometimes be useful, as a means those programs open up quickly when you need them, when too many of them try to start up once it can slow your PC to a crawl. The easiest way to fix this problem is to identify what programs are loading up when Windows starts and disable any programs that you do not need.

The fix To fix this, open up the Task Manager in Windows 10 by pressing CTRL + Shift + Esc on your keyboard. In the Task Manager window, click on the ‘Start-up’ tab at the top of the window. This lists all the apps and programs that load when Windows 10 starts up. If this is a long list, that will be the cause of your PC being slow to boot.

In the Task Manager, you’ll see the name of the app followed by the publisher, its status and the start-up impact. If it says “High” in the ‘Start-up impact’ column, then that means the program is slowing down Windows 10’s boot-up speed. If you don’t need the app to load when Windows starts, then right-click on its entry and select ‘Disable’. This will prevent the app from loading when Windows 10 starts.

Remember, this doesn’t mean you won’t be able to use the app when you need it, it just means it doesn’t preload with Windows. Hopefully, disabling a number of these apps will make a noticeable difference to the time it takes for Windows 10 to load.

If you find that your PC is still slow to boot, there may be other issues affecting it. For example, you may want to check that you have the latest updates and drivers installed for your hardware. If you really want to give your PC a speed boost when it comes to boot times, then you may want to think about installing an SSD in your PC and running Windows 10 from that. An SSD (Solid State Drive) is a much faster drive than a traditional hard drive and installing Windows 10 on one can make a huge difference to how fast it boots.

4. Applications won’t install

Another common computing problem that many people face are applications not installing. The main reason for this is a lack of hard drive space. If your hard drive has become full, it may mean that you are no longer able to install new applications. If this is the case, then you’ll need to do a bit of spring cleaning.  

The fix First of all, you can delete any large files that you no longer need. Open up File Explorer and then navigate to your Downloads folder. This folder often holds lots of large files that you no longer need, so feel free to delete any large files from there. 

You can also free up hard drive space by uninstalling any programs that you no longer use. In the search box in the Taskbar (this is the bar that runs along the bottom of your screen in Windows 10) type in “uninstall”, then click on ‘Add or remove programs’. Scroll down the list of programs that is displayed and click on any that you no longer need. A button will appear saying ‘Uninstall’. Click it to remove the program from your PC. 

You can also get Windows 10 to clean up your hard drive for you. Again, in the search box of the taskbar, type in “disk cleanup” and then press return on your keyboard. From the window that appears, select the drive that you want to clean up. By default this will be the C: drive, which is where Windows 10 and the majority of the programs will be installed. Click ‘OK’, and Windows 10’s Disk Clean-up tool for scan your drive and find files that you can safely delete to free up disk space. From the window that appears you’ll see how much space you can save on your hard drive. Tick the box next to each type of file that you want to remove then click ‘OK’.

5. Windows Update problems

It’s important to keep Windows 10 updated to ensure that your PC runs as well as possible, whilst also being protected against the latest security threats. Even the best antivirus software won't keep you safe if your version of Windows is out of date. However, there are times when you may encounter a problem when updating Windows 10. 

One of the most common problems with Windows Update is when an update fails to install. You will usually see an error message appear explaining that the update has not been successful. Most of the time, this error message is quite good at explaining what the problem is and how to fix it, and one of the most common reasons for Windows update not installing is incompatible software. This means you may have an old version of an app or program that is preventing the Windows update to install. If this is the case, the error message should explain which program is causing the issue. 

The fix Either uninstall the program which is causing the error, or visit the developer’s website to make sure you have the latest version installed. Afterwards, try installing the update again. 

Another reason why a Windows update may fail to install is due to a lack of hard drive space. Each update requires a minimum amount of hard drive space to be available to install correctly, and if your hard drive is too full, then the installation will fail. To fix this problem, free up hard drive space using the methods we outlined in the step above.

If you find that your computer is behaving erratically after installing a Windows update, then it could be that the Windows update itself is causing the problem. To fix this, you will need to uninstall the update. To do this type in “Windows update” into the Taskbar search box and select ‘Windows Update settings‘. In the window that appears, click ‘View update history’. Then, select either ‘Uninstall updates’ or ‘Recovery options’ and follow the steps to uninstall the problem update. Make sure you check Microsoft’s support website to see if Microsoft has released a permanent fix for the problem update.

6. Apps behaving badly

Another common PC problem is when apps and programs start acting strangely. Perhaps they suddenly close down without warning, or maybe documents look a bit strange in Word. 

Once again, there is a wide range of reasons why an app may not be working correctly. 

The fix The first thing you should do is save your work, then restart your PC. Load up the app, and see if it is now working as intended.

If there’s still an issue, you next port of call should be an internet search engine, where you can type in the name of the program and a description of the issue. Hopefully, other people will have had similar issues, figured out how to fix it, and shared their solutions online. 

It’s also worth checking the website of the developers of the app to see if they have released a fix. If the developer’s website has a forum, that can be a good place to look for fixes. While you’re there, make sure you have the latest updates installed. If that fails to fix the problem, it may be worth contacting the app’s support team for more help with fixing the problem.

Luke is a veteran tech journalist with decades of experience covering everything from TVs, power tools, science and health tech to VPNs, space, gaming and cars. You may recognize him from appearances on plenty of news channels or have read his words which have been published in most tech titles over the years. In his spare time (of which he has little as a father of two) Luke likes yoga, surfing, meditation, DIY and consuming all the books, comics and movies he can find.

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What is Problem Decomposition?

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If a computer system is a multiprocessing system, then a single problem/program must be divided into subproblems in order to assign them to the processors. In order to perform this task a technique, Problem decomposition is used. It is the process of decomposing a problem/program into multiple subproblems/subprograms. It is the basic building block of Parallel Computing. 

Decomposition is needed because a problem needs to be divided into different tasks and then mapped to the processors, whereas a task is a subproblem resulting from the decomposition of a problem.

Techniques for Problem Decomposition

In order to decompose a problem/program, the following techniques can be used by a computer:

• Recursive Decomposition: This technique of decomposition is a general-purpose technology that can be used to decompose any sort of problem in computation. It works basically on the basis of the “ Divide and Conquer ” principle, which basically divides a problem into subproblems (Divide) and then assign them to different processors (Conquer). A simple example is the sorting of an array using the Quick Sort Algorithm , which basically divides the array into simplest units and then processes them in order to sort them in ascending or descending order.
• Data Decomposition: This technique of decomposition is again general purpose. It divides the data in the program into parts and then assigns them to instructions(tasks). Data Decomposition can be considered in a matrix multiplication problem. Let say we have two matrices A and B, and their product is stored in another matrix C.

Matrix A:                                  Matrix B:                                          Matrix C:     A 1      A 2                                             B 1      B 2                                                           C 1      C 2     A 3      A 4                                 B 3      B 4                                                           C 3      C 4 So, by data decomposition following tasks will be generated to get the product of A and B , and storing the new matrix in C . Task 1:   C 1 = A 1 *B 1 Task 2:   C 2 = A 2 *B 3 Task 3:   C 3 = A 3 *B 2 Task 4:   C 4 = A 4 *B 4 Now, these tasks will be assigned to four processors.

• Explorative Decomposition: This technique of decomposition is a special-purpose technique, it will be used for a certain types of problems. A problem will be decomposed using explorative decomposition, if by decomposing it a search space is acquired, from where every element (subproblem) is processed by the processors. An example of this type of decomposition is used in Puzzle games, where we have a search space and we have to check the position of every part of the puzzle, to solve it.
• Speculative Decomposition: This technique is again a special-purpose technique. In this technique, the problem is divided and assigned to the processors without any investigation or research, whether the decision made is correct or wrong (speculative). Its best example is a program comprising of nested if. In a program, if an if statement contains another if, and the program is already decomposed and the lines of code are assigned to multiple processors without even checking the conditions, the processors will run both the if statement and its inner if, but after some time when the condition is checked, e.g. false and the decision is made, then the other if statement will also be discarded. Its limitation is that it doesn’t work on the basis of correct decision making, it just divides and maps to the processors, but it is faster than other decomposition techniques.

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Arizona Lawmakers Repeal 1864 Abortion Ban, Creating Rift on the Right

Two Republican state senators broke with their party to ensure final passage of the repeal. Gov. Katie Hobbs, a Democrat, is expected to sign it on Thursday.

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By Jack Healy and Elizabeth Dias

Jack Healy reported from inside the State Capitol in Phoenix, and Elizabeth Dias reported from Washington, D.C.

Arizona lawmakers voted on Wednesday to repeal an abortion ban that first became law when Abraham Lincoln was president and a half-century before women won the right to vote.

A bill to repeal the law passed, 16-14, in the Republican-controlled State Senate with the support of every Democratic senator and two Republicans who broke with anti-abortion conservatives who dominate their party. It now goes to Gov. Katie Hobbs, a Democrat, who is expected to sign it on Thursday.

The vote was the culmination of a fevered effort to repeal the law that has made abortion a central focus of Arizona’s politics.

“We are standing in a moment of Arizona history,” said State Senator Anna Hernandez, a Democrat who called the repeal measure up to a vote on Wednesday.

The issue has galvanized Democratic voters and energized a campaign to put an abortion-rights ballot measure before Arizona voters in November. On the right, it created a rift between anti-abortion activists who want to keep the law in place and Republican politicians who worry about the political backlash that could be prompted by support of a near-total abortion ban with no exceptions for rape or incest.

The 1864 law had gathered dust on the books for decades. But it exploded into an election-year flashpoint three weeks ago when a 4-2 decision by the State Supreme Court, whose justices are all Republican-appointed, said the ban could now be enforced because of the overturning of Roe v. Wade.

After the repeal is finalized, abortions in Arizona will be governed by a 2022 law that prohibits the procedure after 15 weeks of pregnancy, and makes no exception for rape or incest.

But the repeal will not take effect until 90 days after the Legislature adjourns for the summer, meaning that the 1864 ban could still end up temporarily derailing abortion access in Arizona if a court allows it to go into effect. Arizona’s Democratic attorney general and Planned Parenthood Arizona have gone to court to keep the law from being implemented.

Two Republican state senators, T.J. Shope and Shawnna Bolick, joined with Democrats on Wednesday to force that repeal bill to a vote over furious attempts by far-right Republicans to block it.

Before casting her pivotal vote, Ms. Bolick stood up and began a long, deeply personal speech describing her own three challenging pregnancies, including one that ended with an abortion procedure in her first trimester because the fetus was not viable.

“Would Arizona’s pre-Roe law have allowed me to have this medical procedure even though my life wasn’t in danger?” she asked.

But Ms. Bolick, whose husband is one of the Arizona Supreme Court justices who upheld the 1864 law, also railed against Planned Parenthood and Democratic support for abortion rights. She suggested that her vote to repeal the 1864 ban could be the best shot for conservatives to thwart the abortion ballot measure.

“We should be pushing for the maximum protection for unborn children that can be sustained,” she said. “I side with saving more babies’ lives.”

As she spoke, abortion opponents watching from the public gallery erupted with angry shouts: “Come on!” “This is a disgrace!” “One day you will face a just and holy God!”

The repeal was a significant loss for the anti-abortion movement, which had relied on its outsized strength in the Arizona Legislature , The vote came hours after conservatives celebrated a six-week abortion ban that went into effect in Florida on Wednesday morning. The repeal leaves Republican lawmakers divided about whether to place their own more restrictive abortion measure on the ballot in November to compete with the constitutional amendment supported by abortion-rights groups.

Conservative activists had worked for years to elect and support anti-abortion proponents to the Legislature, enabling them to stand firm against outside pressure. But the narrow loss showed that they are vulnerable even in the places where they have built some of their greatest power, as their national political influence weakens.

Several anti-abortion Republican lawmakers made fiery speeches that framed the vote in spiritual terms. They equated abortions to Naziism and compared the repeal with the Sept. 11 attacks. They read graphic descriptions of later-term abortions. They quoted the Bible and made direct appeals to God from the Senate floor.

Some saw the repeal not simply as a rejection of anti-abortion principles, but an explicit rejection of Christianity.

Two choked up. Senator J.D. Mesnard, who represents a suburban swing district, held up his phone and played a sonogram recording of his daughter’s heartbeat.

“If I vote yes, these will be fewer, these heart beatings,” he said.

State Senator Anthony Kern, a Republican who was also among Arizona’s fake electors indicted last week in an election-conspiracy case, said the Senate was betraying its opposition to abortion, and predicted that the vote would pave the way for acceptance of pedophilia.

“This is innocent blood,” he said. “Why can’t we show the nation we are pro-life? We will have the blessing of God over this state if we do that. Our only hope is Jesus Christ.”

Democrats, for their part, mostly stayed silent or made brief statements supporting repeal.

After the repeal passed, State Senator Eva Burch, a Democrat, called it “one step in the right direction” and quickly pivoted to focus on the coming fight over the abortion ballot measure.

Ms. Burch became a particularly visible face of the abortion-rights movement in Arizona this year after she made an emotional floor speech to announce she needed an abortion to end a nonviable pregnancy. She criticized the two Republican defectors for their past votes on abortion issues but said, “They stood with us,” to overturn the 1864 ban.

“I’m grateful for that,” she said.

Legislators had tried twice to force a repeal bill to a vote in the Republican-controlled state Legislature, only to be blocked by conservative lawmakers. In tense scenes inside the State Capitol, Democratic lawmakers shouted “Shame!” at Republicans, and anti-abortion activists filled the chambers with prayers to uphold the law.

Then last week, three Republican members of the House joined with every Democrat in the chamber and voted to repeal the 1864 ban, sending it to the Senate for final approval.

Before the vote on Wednesday, anti-abortion activists gathered outside the Capitol in a last-ditch effort to urge lawmakers to reconsider. They prayed under a tree, read scripture over a loudspeaker and argued with abortion rights supporters.

Amirrah Coronado, 17, took the morning off from her high school classes, put on a light pink T-shirt and drove to the Capitol with her mother and siblings to support the repeal effort. As she walked toward the sun-splashed plaza, a woman yelled at her, “Abortion is murder!”

“I know how to speak,” Ms. Coronado said as an anti-abortion activist made a case that Arizona needed stricter abortion laws. “This law — it’s from when slavery was here.”

In another corner of the plaza, Marisol Olivia Valenzuela faced off with a cluster of anti-abortion demonstrators from Apologia Church, a Phoenix congregation that supports so-called “abortion abolition” that would criminalize abortion from conception as homicide.

“It’s murder,” Charlie Casteel, 16, told Ms. Olivia Valenzuela. She was not having it.

“You’re standing here as a male, but you will never have to make that decision,” she said. “I am totally pro-life, but why can’t we meet in the middle? Government shouldn’t govern our bodies. Government has nothing to do with this.”

After the Senate vote, Representative Nancy Gutierrez, a Democrat and the House minority whip, said she was excited that they “finally” got the bill to the governor’s desk. “It will absolutely save lives,” she said. “However, we are not finished. We still have an initiative to get on the November ballot that will codify abortion access in our Arizona Constitution.”

Ada Martin, 55, who owns her own educational consulting company and is on the board of Planned Parenthood Advocates of Arizona, heard the news of the repeal as she was celebrating her birthday. It was a positive development, she said, but noted the three-month lag time in which the ban could be in effect.

Passing the ballot measure in November is still her primary goal, she said.

“People tend to have a perception about abortion, but as far as I am concerned abortion is health care, and the communities that are most adversely affected, regardless of religious influence, are communities of color,” she said. “I am just worried about the ability for those individuals to make choices about their bodies.”

Jack Healy is a Phoenix-based national correspondent who focuses on the fast-changing politics and climate of the Southwest. He has worked in Iraq and Afghanistan and is a graduate of the University of Missouri’s journalism school. More about Jack Healy

Elizabeth Dias is The Times’s national religion correspondent, covering faith, politics and values. More about Elizabeth Dias