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Industrial Management & Data Systems

ISSN : 0263-5577

Article publication date: 20 March 2007

The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective.

Design/methodology/approach

This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks. The entire methodology has been explained using a case study on software development project in a public sector organization in Barbados.

Analytical approach to managing risk in software development ensures effective delivery of projects to clients.

Research limitations/implications

The proposed risk management framework has been applied to a single case.

Practical implications

Software development projects are characterized by technical complexity, market and financial uncertainties and competent manpower availability. Therefore, successful project accomplishment depends on addressing those issues throughout the project phases. Effective risk management ensures the success of projects.

Originality/value

There are several studies on managing risks in software development and information technology (IT) projects. Most of the studies identify and prioritize risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from software developers' perspective. Although a few studies introduced framework of risk management in software development, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the software development cycle. As software developers absorb considerable amount of risks, an integrated framework for managing risks in software development from developers' perspective is needed.

  • Software engineering
  • Risk management

Dey, P.K. , Kinch, J. and Ogunlana, S.O. (2007), "Managing risk in software development projects: a case study", Industrial Management & Data Systems , Vol. 107 No. 2, pp. 284-303. https://doi.org/10.1108/02635570710723859

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Copyright © 2007, Emerald Group Publishing Limited

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Purpose - The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective. Design/methodology/approach - This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks. The entire methodology has been explained using a case study on software development project in a public sector organization in Barbados. Findings - Analytical approach to managing risk in software development ensures effective delivery of projects to clients. Research limitations/implications - The proposed risk management framework has been applied to a single case. Practical implications - Software development projects are characterized by technical complexity, market and financial uncertainties and competent manpower availability. Therefore, successful project accomplishment depends on addressing those issues throughout the project phases. Effective risk management ensures the success of projects. Originality/value - There are several studies on managing risks in software development and information technology (IT) projects. Most of the studies identify and prioritize risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from software developers' perspective. Although a few studies introduced framework of risk management in software development, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the software development cycle. As software developers absorb considerable amount of risks, an integrated framework for managing risks in software development from developers' perspective is needed. © Emerald Group Publishing Limited.

  • risk management
  • software engineering

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  • 10.1108/02635570710723859

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  • http://www.emeraldinsight.com/journals.htm?articleid=1597801&show=abstract

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  • Software Development Mathematics 100%
  • Development Projects Business & Economics 60%
  • Risk Management Mathematics 56%
  • Software engineering Engineering & Materials Science 53%
  • Risk management Engineering & Materials Science 44%
  • Developer Business & Economics 29%
  • Framework Mathematics 23%
  • Software Mathematics 14%

T1 - Managing risk in software development projects

T2 - a case study

AU - Dey, Prasanta K.

AU - Kinch, Jason

AU - Ogunlana, Stephen O.

PY - 2007/3/16

Y1 - 2007/3/16

N2 - Purpose - The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective. Design/methodology/approach - This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks. The entire methodology has been explained using a case study on software development project in a public sector organization in Barbados. Findings - Analytical approach to managing risk in software development ensures effective delivery of projects to clients. Research limitations/implications - The proposed risk management framework has been applied to a single case. Practical implications - Software development projects are characterized by technical complexity, market and financial uncertainties and competent manpower availability. Therefore, successful project accomplishment depends on addressing those issues throughout the project phases. Effective risk management ensures the success of projects. Originality/value - There are several studies on managing risks in software development and information technology (IT) projects. Most of the studies identify and prioritize risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from software developers' perspective. Although a few studies introduced framework of risk management in software development, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the software development cycle. As software developers absorb considerable amount of risks, an integrated framework for managing risks in software development from developers' perspective is needed. © Emerald Group Publishing Limited.

AB - Purpose - The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective. Design/methodology/approach - This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks. The entire methodology has been explained using a case study on software development project in a public sector organization in Barbados. Findings - Analytical approach to managing risk in software development ensures effective delivery of projects to clients. Research limitations/implications - The proposed risk management framework has been applied to a single case. Practical implications - Software development projects are characterized by technical complexity, market and financial uncertainties and competent manpower availability. Therefore, successful project accomplishment depends on addressing those issues throughout the project phases. Effective risk management ensures the success of projects. Originality/value - There are several studies on managing risks in software development and information technology (IT) projects. Most of the studies identify and prioritize risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from software developers' perspective. Although a few studies introduced framework of risk management in software development, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the software development cycle. As software developers absorb considerable amount of risks, an integrated framework for managing risks in software development from developers' perspective is needed. © Emerald Group Publishing Limited.

KW - risk management

KW - software engineering

UR - http://www.scopus.com/inward/record.url?scp=33947110929&partnerID=8YFLogxK

UR - http://www.emeraldinsight.com/journals.htm?articleid=1597801&show=abstract

U2 - 10.1108/02635570710723859

DO - 10.1108/02635570710723859

M3 - Article

SN - 0263-5577

JO - Industrial Management and Data Systems

JF - Industrial Management and Data Systems

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Managing risk in software development projects: a case study

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2007, Industrial Management and Data Systems

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Managing risk in software development projects: a case study

P. Dey , J. Kinch , S. Ogunlana

Mar 16, 2007

Influential Citations

Quality indicators

Ind. Manag. Data Syst.

Key Takeaway : Effective risk management in software development projects ensures successful project delivery, with a framework from developers' perspectives needed for successful project completion.

Purpose - The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective. Design/methodology/approach - This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks. The entire methodology has been explained using a case study on software development project in a public sector organization in Barbados. Findings - Analytical approach to managing risk in software development ensures effective delivery of projects to clients. Research limitations/implications - The proposed risk management framework has been applied to a single case. Practical implications - Software development projects are characterized by technical complexity, market and financial uncertainties and competent manpower availability. Therefore, successful project accomplishment depends on addressing those issues throughout the project phases. Effective risk management ensures the success of projects. Originality/value - There are several studies on managing risks in software development and information technology (IT) projects. Most of the studies identify and prioritize risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from software developers' perspective. Although a few studies introduced framework of risk management in software development, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the software development cycle. As software developers absorb considerable amount of risks, an integrated framework for managing risks in software development from developers' perspective is needed. © Emerald Group Publishing Limited.

9 Risks in Software Development and How to Mitigate Them

9 Risks in Software Development and How to Mitigate Them

Head of Delivery

managing risk in software development projects a case study

Tech Researcher and Writer

Table of content

  • There are different risk categorizations, but technical and organizational risks are the most common categories in the IT field. Technical risks refer to technical processes, third-party integrations, design elaboration, and security, while organizational risks are connected with software development requirements, constraints, dependence on external teams, and stakeholder management.
  • Risks, as well as the risk management process, are an inevitable part of any software development project, independent of the project’s size or complexity and the team’s level of expertise.
  • Software development risk management in software development is a five-step process: planning, risk identification and categorization, risk analysis, risk response planning, and risk monitoring and control.
  • You can’t identify all risks during the discovery phase; that’s why risk management is an integral part of the software development lifecycle.
The biggest risk is not taking any risk... In a world that’s changing really quickly, the only strategy that is guaranteed to fail is not taking risks.

Mark Zuckerberg

In the early days of Facebook, Zuckerberg and his team faced risks at every turn, from addressing privacy concerns to scaling infrastructure to accommodate millions of users. Yet, they kept adapting and learning from their mistakes. This willingness to embrace risks transformed Facebook into the digital giant we know today and changed the way people communicate online forever.

Risks are an integral part of any custom software development project: it doesn’t matter if you are the world’s social media leader or a startup owner. However, any risk that isn’t identified and managed may turn into an issue. That’s why it’s important to develop a consistent approach to risk assessment for software development and mitigation for each project.

In this article, we explore the main software development risks and how they are classified and managed. We also share our own risk management experience that we have gained working on 190+ projects over the course of 9+ years.

Identifying and mitigating software development risks

Before we proceed to exploring software development risks, we need to define what a risk actually is.

The Project Management Body of Knowledge (PMBOK) describes a risk as:

An uncertain event or condition, that, if it occurs, has a positive or negative effect on a project’s objective.

In software development, anything that poses a threat to the project’s schedule or cost, or to the quality of the product, can be considered a risk.

PMBOK outlines the following software development risk categories: technical , external , organizational , and project management . There are also more detailed risk categories that may include legal, environmental, and other groups of risks. Risk categorization depends on the project specifics and industry. In the IT field, the most common risk groups are technical and organizational — these are the risks that we most often encounter on our projects.

The negative effect may or may not happen. But our goal is to foresee as many risks as possible, categorize them, and decide on a risk management strategy. This is exactly what we will explain in this article. You’ll get acquainted with the most common categories of risks in software development, how they can be eliminated, and how you can manage risks on your project.

Technical risks to consider

Technical risks refer to challenges that can arise during the development process due to technical factors. In this group, we highlight risks associated with technical processes and conditions, third-party integrations, UI/UX design elaboration, and security. They all require your attention, so let’s take a closer look at each.

tech risks

Technical process and condition risks

In software development projects, the most essential considerations are related to technologies and organization of the development process. We can highlight the following risks associated with technical processes and conditions:

  • A development methodology that isn’t aligned with the project’s goals and complexity can impact the project’s success, budget, timeline, and overall quality.
  • A poorly chosen technology stack can lead to issues with product performance and maintenance challenges.
  • Use of outdated or unsupported tools and technologies can lead to compatibility issues and security vulnerabilities.
  • Lack of testing, inadequate testing methods, or insufficient testing may lead to undiscovered bugs and software performance issues, resulting in poor quality of the final product.
  • An architectural design that isn’t aligned with the app’s technical and business requirements may cause performance issues and difficulties in scaling and maintaining the software product.
  • Software made without scalability in mind often poses significant difficulties in dealing with increased loads and user demands, resulting in performance degradation and frequent system crashes.
  • Hiring inexperienced software developers may compromise code quality, leading to numerous logical errors that require a significant amount of unplanned work to fix.

Managing these risks requires deep, project-specific expertise.

Solution: The majority of risks associated with technical processes and conditions should be managed by the technical leader within your team. This can be a senior developer, a product manager with a technical background, or the CTO . However, in some cases, your software development team may lack the necessary expertise, making it challenging to deal with these types of risks.

The optimal way out of this situation is software development consulting to get professional advice from a team of experts that are regularly involved in the development process. Depending on your situation, you may benefit from industry-specific insights from a team consisting of a project manager, UI/UX designer, business analyst (BA), backend and frontend developers, and QA engineers. You can take advantage of software development consulting to reduce technical process-related risks associated with your choice of technology stack, architectural design, and so on.

Building the software testing process the right way may help you to avoid risks associated with poor product performance. From our experience, we can say that integrating the software testing lifecycle (STLC) into the software development lifecycle (SDLC) helps ensure the high quality of the final product and identify issues and errors as soon as they arise. Read our STLC guide if you want to find out more about the topic.

Third-party integration risks

Nowadays, third-party integrations can be seen in the vast majority of products that we use for our work and in our daily lives. Can you remember the last time you had to register in an application from scratch without the ability to sign up from your Facebook or Google account? As a rule, third-party account sign-up/sign-in is the simplest integration included in an application.

When building such services as customer relationship management platforms, marketing automation platforms, or email marketing services, you will likely need integrations with social media platforms, analytics tools, lead generation tools, and others. This greatly simplifies the work and allows you to avoid duplicating information. So, it’s safe to say that modern software development projects can’t do without integrations.

However, there are a lot of nuances and pitfalls associated with integration of third-party services.

  • Outdated, inconsistent documentation (such as instructions, guides, and other information given by third-party service providers to guide developers in integrating their services) can lead to integration challenges and require additional development time.
  • Integration of third-party services entails security risks , since it implies sharing sensitive data with external providers.
  • Integrating a third-party service can affect the application’s overall performance , as you can’t control the functionality of the service you want to integrate. For example, integrating a third-party payment service may introduce latency issues due to the service’s response time.

Solution: Each third-party integration is specific and typically requires a narrow approach to addressing integration risks. In some cases, you may need to contact the support team of the service you want to integrate in order to manage issues associated with incorrect functionality.

In our experience, we have had numerous projects that required integrations with other services. We illustrate the integration process in our Attention Experts case study . The owner of a social media marketing agency came to us with a problem: the Attention Experts marketing team used software with limited functionality and had to switch between a number of SaaS tools to manage their workflow, which hindered their internal processes. So, they decided to create an all-in-one custom social media marketing tool to optimize their everyday marketing tasks.

To meet this request, we created a tool that included integrations with Instagram, Facebook, Twitter, and LinkedIn. Thanks to this, SMM specialists were able to effortlessly schedule and publish posts on these social media platforms using an internal editor, work with Canva visuals inside the platform, and streamline content approval.

By performing preliminary research of APIs during the discovery phase, we reduced most risks associated with integrations. We investigated capabilities of third-party social media platforms by thoroughly researching API documentation for specific cases we needed to cover. After that, we implemented several simple Proofs of Concept (PoCs) — demonstrations aimed at validating an idea and deciding on the best way to bring it to life.

These PoCs allowed us to ensure that we could use integrations provided by these social media platforms.

Thanks to that, our team succeeded in meeting tight deadlines (our client wanted to get the platform MVP as soon as possible) and didn’t have to dedicate additional time for risk management.

UI/UX design elaboration risks

Elaborating a UI/UX design means creating the interface through which users will interact with your app. The UI/UX design also determines how easily users can accomplish their goals using your application.

In our projects, we have faced the following risks associated with UI/UX design elaboration:

  • Failing to understand and address the actual needs and expectations of your target audience can lead to a design solution that doesn’t resonate with users, resulting in poor user satisfaction and adoption.
  • Skipping the moodboard and wireframing/prototyping stages may lead to misunderstandings between stakeholders and the development team, which can entail costly and time-consuming design rework.
  • Selected UI libraries/templates may no longer be applicable when the design changes.
  • Some custom frontend elements may require additional development time .
  • Intensive designs can slow down the application , leading to a poor user experience and potentially high bounce rates.
  • Focusing on the user interface without paying enough attention to the user experience may result in an application that isn’t user-friendly.
  • Not elaborating different screen conditions (normal, active, error, hover, etc.) during the design process means that frontend developers have to create them on their own. This may require additional time for re-design and re-coding.
  • Poor communication between UI/UX designers and frontend developers may lead to rework and missed deadlines.

Solution: You can foresee and mitigate most risks associated with UI/UX design elaboration during the discovery phase . At this stage, you can:

  • plan how to make your design future-proof
  • take into account all design elements that may require additional time
  • consider how to avoid intensive design elements that will slow down the application
  • research the best design solution and turn the results of this research into solid requirements outlined in a software requirements specification (SRS)

Based on the requirements, a UI/UX designer should create a wireframe that demonstrates the product’s key design elements. This wireframe should serve as a preview of how the final product will look, allowing stakeholders to approve the concept before it turns into a realistic interactive prototype. Design elaboration as an iterative process allows you to make sure that the product’s interface looks as expected.

At Clockwise Software, we always emphasize design simplicity for the MVP . A product’s design should evolve along with updates to product functionality, not vice versa. This contributes to smart resource allocation and allows our clients to make sure that the design is in line with their expectations.

In our experience, we have seen a lot of situations that emphasize the importance of a minimalist design for the MVP. For example, on one of our projects, the client wanted a catchy and attractive design for their application that would strongly distinguish the product from competitors. In order to fulfill the client’s requirements, our designers mixed different styles and dozens of shades to create a unique and unusual user interface. However, it turned out that this design solution was too much for the MVP’s simple functionality, and the user experience suffered. As a result, we had to completely rework the ready-made design to make it more minimal and user-friendly. This required additional time and budget.

It’s also important to follow design trends to stay on par with competitors. To ensure that your app’s UI/UX design stays up to date, you need to consult with your designer and implement a thoughtful approach to design trends.

Security risks

Security is a major concern in software development. Users always expect software they use to protect their data. However, some product owners don’t pay enough attention to their product’s security, preferring to focus on monetization and functionality first.

There are a significant number of famous cases where improperly managed security risks led to terrible consequences. For example, the Equifax data breach .

Equifax is one of the three major credit reporting agencies in the United States that is responsible for collecting and maintaining financial data on millions of consumers. In September 2017, Equifax suffered a massive data breach that exposed the personal and financial information of approximately 143 million Americans. The breach included sensitive data such as names, Social Security numbers, addresses, and even credit card numbers.

There were several preconditions that led to the Equifax breach:

  • Equifax confirmed that they failed to apply a security patch for a known vulnerability in the Apache Struts web application framework. Hackers detected this vulnerability and used it to gain access to Equifax systems.
  • Equifax didn’t detect the breach for several weeks. Slow detection and response led to data leaks, leaving people unable to take immediate steps to protect their personal information.
  • Reports revealed that Equifax used default usernames and passwords for key systems, making it easier for attackers to gain access.

We can also highlight the following security risks from our practice:

  • Tight deadlines may lead to a lack of testing, and, as a result, the creation of an unstable security system.
  • An unclear project vision may lead to an inadequate understanding of how the product’s security system should operate.

Solution: While developing highly secure software is complex and costly, there are three basic security goals that need to be met one way or another. These are confidentiality, integrity, and availability . Together, they are known as the CIA triad .

Security actions should be taken at the pre-requirement stage of the software development lifecycle (SDLC) to establish the basis for all actions, from requirements gathering through testing and maintenance.

Since security is considered a quality attribute, it’s also necessary to conduct software quality management from the very beginning of project development.

Addressing, analyzing, and mitigating security risks brings a variety of advantages. Continuous monitoring and evaluation can lead to early detection of errors or problems, timely implementation of appropriate actions in response, and the launch of a secure software product. Otherwise, security risks may become more problematic in the future.

On our projects, we have had to manage a lot of challenges associated with security. For example, when working on BackupLABS , we had to conduct thorough research to find a reliable yet cost-effective way to provide superb security. BackupLABS is a platform that allows users to back up their data from a variety of services like GitHub, GitLab, and Trello.

Naturally, for such a data-focused service, we had to ensure reliable encryption. For this, we provided end-to-end encryption with the AWS S3 Encryption client and used AWS KMS to enable encryption of keys for different services. In this way, we mitigated the risk associated with possible personal data leaks, as no one can access the client’s encrypted data (even developers).

All encrypted client data is stored on Amazon servers, so even the development team doesn’t have access to it.

In some of our projects, the software security system has required even more attention. When carrying out a discovery phase for the owner of a cost estimation platform , we involved a security consultant. Since our client prioritized security as one the key tasks, we had to provide proven recommendations on how to eliminate data leaks and breaches. As a result, we leveraged OWASP and CIS benchmarks — industry-specific practices — to ensure high-level security.

Organizational risks to pay attention to

Organizational risks refer to potential challenges that can affect a project’s success due to factors related to organization of the software development project. As we have worked on various projects with different teams and different collaboration models, we’ve often had to deal with the following risks.

org risks

Requirements-related risks

PMBOK defines requirements as quantified and documented needs, wants, and expectations of the sponsor, customer, and other stakeholders .

Requirements are a crucial part of any software development project and serve as a foundation for designing, developing, testing, and maintaining the software product.

According to the Pulse of the Profession study carried out by the Project Management Institute among 5402 companies, 35% of projects fail because of incorrect requirements collection. Thus, the importance of requirements can hardly be exaggerated.

ResearchGate discussed software development risks with designers, architects, and line managers of large software development organizations in four companies and highlighted seven risks associated with product requirements that align with our experience:

  • When working on our projects, we have repeatedly encountered a client’s intention to add multiple requests in one requirement . Although we understand that this desire is driven by the intention to shorten the list of requirements and, consequently, reduce the development time and cost, our experience shows that clarity and prioritization are more likely to achieve these purposes.
  • Inappropriate representation makes requirements difficult to understand. This includes requirements that contain pseudo-code, references to other documents, and other uncertainties.
  • A requirement that is closely related to other requirements is susceptible to external influences or changes.
  • Notes and assumptions in requirements may result in developing the wrong functionality.
  • Unfeasible, unclear, or untestable requirements are hard to understand and implement.
  • Poor adaptation to evolving requirements can cause delays and conflicting priorities.
  • Deviation from the initial product vision in late stages of product development can impact on-time delivery and disrupt sprint planning and execution.

ResearchGate highlighted these risks as a result of a large study, and we at Clockwise Software have encountered all of them in our work. We can confidently state that unclear, inappropriately represented requirements often lead to misunderstandings within a team and result in a final product that doesn’t meet expectations. This entails thousands of dollars in rework, delays, and lost resources.

Solution: On our projects, we have faced all of the risks described above. In order to deal with them, we lay down requirements in the form of a software requirements specification (SRS) — a comprehensive and structured description of the requirements for a software product to be developed. An SRS allows us to get the most out of the requirements, making them clear, unambiguous, comprehensive, traceable, and properly presented. The SRS is a tool for communicating between stakeholders and development team members and acts as a structured framework for managing changes or updates to requirements.

At Clockwise Software, we establish an SRS during the project discovery phase — the pre-development stage of software creation focused on investigating, planning, and collecting all necessary documentation. The discovery phase encompasses collecting requirements, establishing the application’s structure, and compiling and approving requirements. This way, we can make sure that an SRS is made in accordance with the project’s business needs, has a clear and understandable structure, and provides an accurate and detailed description of each goal that needs to be met before development is finished and the final product sees the world.

cta image

Our article on how to lay down an SRS document will reveal this process in more detail.

To ensure effective requirements management, we also use tracking tools like Jira and Trello that help organize requirements in an agile manner. They allow our team to break down an SRS into smaller, more manageable tasks that can be prioritized, assigned, and tracked throughout the product development lifecycle. Such tools also foster more transparent communication between team members and allow everyone to stay updated on the project’s progress.

Constraint-related risks

Anything that slows down the software development process or interferes with achieving its goal may be considered a constraint. According to the triple constraint theory , there are three interdependent constraints influencing a product’s quality: scope, cost, and time. Changes to any of these constraints will invariably impact the others. Let’s take a closer look at each constraint:

Defining the scope of a software project is one of the most difficult tasks that needs to be done prior to the start of the development process.

As our experience shows, most proactive product owners have a broad idea of how their product should look. As a rule, they see their project in all its glory with a large set of features. However, most world-famous products began their journey as a minimum viable product (MVP): Spotify, Uber, X (formerly Twitter), and others. Therefore, we coach our clients in taking an iterative approach to creating the product of their dreams. We prioritize features, create a scope of work, and do the same for each subsequent product version. Still, there are a lot of factors that increase the risk of defining a non-realistic scope. The most widespread are as follows:

  • Unplanned scope variations (like the addition of features that weren’t approved during the planning stage) may require additional development time and resources.
  • Lack of agility makes it difficult to handle changes in the scope.
  • Improper feature prioritization can lead to missed market opportunities.

Scope risk may lead to time and cost overruns, which may also result in a delayed product launch.

The time constraint refers to the amount of time available to complete the project’s scope. It represents the deadline by which the project’s objectives and deliverables need to be achieved. Typically, the timeframe for project completion is calculated during the discovery stage and depends on the scope, but the risks of exceeding this estimate remain. In our experience, we’ve faced these risks associated with time constraints:

  • In difficult projects , managing potential challenges is hard. That is why such projects are more likely to encounter delays.
  • Miscommunication and misunderstandings within the team delay the project’s progress.
  • Lack of resources or improper allocation of resources slows down project progress.
  • Inaccurate planning and lack of consistency and accuracy in planning can lead to inadequate time estimates.

Time constraints, if not handled adequately, may result in missed deadlines.

Budget limitations for developing a new product or improving an existing one create cost constraints. Factors that may increase the risk of not finishing a project within the budget include:

  • A poor budget allocation strategy , which may lead to cost overruns.
  • Lack of attention to budget management from stakeholders, which may interfere with the creation of a cost-effective project development plan.
  • Absence of project expense tracking throughout the software development lifecycle, which may lead to deviations.
  • Lack of flexibility , which can make it difficult to adapt to changing circumstances and adjust the budget accordingly.

Cost constraints may necessitate increasing the budget to complete the project.

Solution: As our experience has shown, three constraints are always interconnected: limited time will result in a reduced scope, and a tight budget may extend the timeline. So, we have developed a strategy for balancing these constraints . For this, we define realistic project parameters, ensure a clear understanding of the scope among stakeholders, maintain a visible timeline, efficiently allocate resources, and continuously monitor progress while making necessary changes and adjustments. This dynamic approach allows for balanced decision-making and successful project outcomes.

Risks associated with external teams

In many cases, software development projects have to rely on external teams. There may be many reasons for that: the need for specialized expertise that is not available in-house (for example, in artificial intelligence or specific programming languages), the necessity to handle an increasing workload, the desire to optimize time and cost constraints, etc.

When involving external professionals in your product development, you may face risks such as:

  • Poor involvement of external specialists in your project. This often happens when you hire freelance specialists whose work comes down to the mechanical execution of assigned tasks. Their lack of understanding of the product lifecycle and its goals may result in poor quality of the end product.
  • Cooperation with unreliable agencies or companies without experience in your industry may lead to unsatisfactory outcomes and project delays.
  • Sharing sensitive information with external workers poses a threat to data security and confidentiality.

It’s hard to control external teams that are not actually involved in your project and aren’t a part of your development team. The risk of not meeting project requirements and timeframes increases greatly when you have an unreliable partnership.

Solution: The most obvious way to eliminate this risk is to hire the necessary professionals in-house. This way, you have full control over your team and their workload.

However, in many cases, outsourcing development of the whole app or part of it is a wise decision. If you approach outsourcing correctly, you may not just avoid the aforementioned risks but also save time and money.

Delegating tasks to freelancers may seem tempting, as it is usually a cheap and simple option. However, there may be consequences. Although freelancers may be good specialists with a high level of motivation, their responsibility is questionable. Freelancers tend to work on several projects simultaneously and continuously look for new gigs, as this is the basic requirement of successful freelancing. This means that freelance developers are rarely dedicated to your task and may even switch to a different project in the middle of development.

Partnering with an outsourcing company is a far more reliable option, as outsourcing companies care about their reputation and long-term partnerships. When working with an outsourcing company, you get vetted developers with hard and soft skills that match your project requirements. Additionally, the outsourcing company creates conditions where workers can completely focus on projects, and a contract guarantees that you will receive the services you’ve ordered.

However, partnering with an outsourcing company still doesn’t guarantee your success. If you decide to delegate project development, you have to be very careful with selecting a contractor. Compare a few vendors, review their portfolios, and talk to representatives to make sure you can trust your application to a vendor. And never be lured by the lowest price, as it’s a red flag. We have described important steps in choosing the right app partners in a previous article. Check it out if you want to delegate development and focus on business-related tasks instead.

Software development outsourcing companies work on a contract basis, which reduces the risk of incorrect or untimely work. Such a contract typically outlines the rights, responsibilities, and obligations of both parties. If the software development company fails to comply with the terms of the contract, it will suffer from sanctions, which protects you from many risks related to external teams. Also, signing a non-disclosure agreement (NDA) is the most efficient way to protect your intellectual property and other sensitive information when working with third parties.

Risks associated with stakeholders

Stakeholders are people directly interested in the project’s positive outcome. When talking about software development, stakeholders may be people in your organization whose work will be influenced by introducing the new software. It’s a good idea to involve stakeholders in the development process, as their input helps you make better decisions to improve the software's effectiveness.

In software development, a product owner may represent all stakeholders, or stakeholders may be involved in the development process personally.

Stakeholders’ involvement in the project results in various project control risks:

  • Insufficient involvement of the product owner/stakeholders in the development process leads to an inadequate understanding of project complexity and expected deliverables. Obviously, this leads to unrealistic expectations, rework, and delays.
  • Lack of communication between the product owner/stakeholders and the development team can lead to misunderstandings, delays in decision-making, and, ultimately, failure to meet project objectives.
  • Micromanagement — excessive control over the development process — is the reverse problem. It hinders the team’s ability to work effectively and make creative decisions, which in turn results in loss of motivation and poor productivity.
  • Introducing new stakeholders in the middle of the development process also entails a lot of threats to the project’s success. Their lack of familiarity with the project’s history may lead to communication difficulties, as new stakeholders need to review the project’s scope and requirements, causing delays in decision-making.
  • An unclear distribution of responsibilities among stakeholders sometimes lead to wrong decisions, which, again, increase the project’s timeline and budget.

Solution: A project manager doesn’t have the authority to make decisions that affect the fate of the product and project. They only communicate stakeholders’ decisions to the team, translate them into clear requirements, and manage their execution. Therefore, lack of established communication with stakeholders increases the risk of not getting the product you expect.

A RACI matrix helps manage stakeholders’ involvement in the development process, clarifying and communicating roles and responsibilities for tasks within the project. There are four key roles defined in the matrix:

  • Responsible (R) — a person or group of people responsible for accomplishing the task
  • Accountable (A) — a person or or group of people accountable for the task’s overall success
  • Consulted (C) — an individual or group of people who consult, advise, or share their opinion or expertise for a certain task
  • Informed (I) — a person or group of people who need to be informed about the task’s progress but aren’t directly involved in its accomplishment

Here is an illustration of how a typical RACI matrix can look in a software development project:

raci matrix

Each task the team starts working on should have defined roles. This way, you make clear who is responsible for certain decisions on the project and reduce the number of unauthorized changes and the amount of rework.

If you want to get precisely the product that meets your needs, you should involve stakeholders in project development from the beginning. It’s essential to set clear goals and establish and approve software requirements.

It is not necessary to conduct daily meetings with project managers and team members. However, regular meetings (weekly or biweekly) with the project manager or the whole development team will allow you to share the project’s vision and goals, check the project’s status, discuss task prioritization, etc.

Project disruption risks

There are a lot of factors that can cause global organizational shifts in the development process, and the majority of them can hardly be controlled or identified in advance.

On our projects, we’ve faced some risks that have had a major influence on the project’s fate:

  • A dramatic shift in business priorities, market changes, and technological advancement can become a reason for project reprioritization. This may result in resource conflicts, have a significant negative impact on the project timeline, lower the team’s motivation, compromise product quality, and result in conflicts between stakeholders.
  • Significant budget cuts in the middle of development require task reprioritization and resource reallocation. Naturally, this is detrimental to the quality and success of the end product, triggers contractual issues with the vendor, and undermines stakeholders’ confidence in the project’s success.
  • Another vendor may be introduced into a running project due to an organization’s internal politics and personal preferences of key project stakeholders. This can be disadvantageous and problematic for both the company and the development team, as it leads to a waste of already invested money, time, and other resources as a result of conflicts and contract disagreements.
  • When a company goes through a merger and acquisition process , this introduces a lot of complexities to the project, as it has a significant influence on strategic goals and often leads to changes in the ongoing development process. The acquiring company may revise contracts with existing vendors, reassess the budget, and introduce a lot of uncertainties to the development process. This leads to the inevitable extension of the project’s timeframes, puts additional pressure on the development team, requires revision of requirements, and leads to communication challenges.

Solution: As we’ve mentioned, most of these risks can’t be foreseen or controlled. But each may become a reason for the project to be frozen or even canceled.

We recommend reviewing a project’s concept, priorities, and business goals before starting software development. This won’t eliminate the possibility of any of these risks but can reduce their probability of occurrence.

Effective communication between the development team and stakeholders, careful planning, flexibility, and adaptability in the project management process can soften the consequences of project disruption.

How to manage risks

We have reviewed two large groups of risks and dozens of examples and have explained how we deal with them based on our own experience. In order to deal with all risks you may face during the software development process, you need a proper method of risk handling. In this section, we share how we manage risks in our projects.

Risk management is the process of identifying, addressing, and eliminating risks before they cause damage to the project. It is a continual process that spans the whole software development lifecycle.

Risks are outlined in the risk register — a dynamic document used for risk management. In simple words, the risk register is a table containing risks, each with a name, status, probability, mitigation plan, and other characteristics. It identifies software risks and plans to avoid them and minimize their effects if they occur. The project manager (PM) controls the risk register, which is laid down during the discovery phase.

Here is how a typical risk register looks in a software development project:

risk register

A proper approach to risk management is crucial, as it will define how effectively you can address risks that may affect your project. In our company, we conduct risk management the following way:

Plan risk management. At this stage, we plan all activities related to the risk management process: discuss the risk management process with stakeholders and team members, and schedule and organize risk management activities. A risk management plan includes definitions of risk sources and categories, risk metrics (impact and probability), and a software development risk mitigation plan.

Identify and categorize risks. This process refers to identifying risks that may affect project development and entering them into the risk register. Risks should be identified as early as possible. You can identify risks relevant for your project through communication between stakeholders and the development team, brainstorming sessions, historical data analysis, SWOT analysis, a risk checklist, and other methods.

Risk identification is one of the central subjects discussed during regular project status and reporting meetings, as it’s done throughout the SDLC.

Analyze risks. In this step, you need to assess and prioritize all risks identified during previous steps. This involves quantifying each risk’s severity on a numerical scale. Quantitative risk analysis involves assigning numerical values for the following:

Impact (h) — assesses the severity of the risk, (a measure of potential harm or loss that the risk can result in), quantified in terms of hours

Probability (%) — the probability of a risk’s occurrence, expressed as a percentage

Exposure (h) — the outcome of the impact and probability, quantifying the expected loss from the risk according to this formula:

Exposure (h) = Impact (h) x Probability (%)

Mitigation (h) — number of hours required to mitigate the risk

Software development risk assessment merges vulnerability analysis and threat impact evaluation to reach an overall conclusion of the risk level.

  • Plan your risk response. Each risk needs to have a response plan — a set of actions that need to be taken to reduce threats that pose a negative impact on project development. This step can be divided into two parts: identifying a risk response strategy and creating a plan to implement it. There are several possible risk response strategies:

Elimination — Take a different approach to a task that eliminates the risk. We implement this approach when risks can be eliminated in a minimal amount of time without requiring additional resources.

Transfer — Delegate the risk to a third party. On one of our projects, we had to adhere to this strategy to satisfy our client’s desire to increase protection from hacking.

Mitigation — Develop a plan to mitigate the risk, reducing the likelihood of its occurrence. When a risk can’t be eliminated, we develop a risk mitigation plan to soften the consequences.

Acceptance — Allow the risk to remain and deal with potential consequences. If risk mitigation requires a significant amount of time and resources, we stick to this strategy.

The mitigation strategy is applied to the majority of risks. However, one risk may require several strategies.

Once a strategy has been selected, the next step is to develop a plan to implement it. This plan should include an outline of the required tasks, responsible individuals, timeline, financial support, and related details.

  • Monitor and control risks. After risks have been identified and analyzed and the response plan has been generated, the next step is to monitor and control these risks. This involves assessing events that trigger the risks, activating response plans when necessary, and ensuring the ongoing effectiveness of response strategies. All these activities should be systematically monitored and reported through a risk management process.

risks management process

In conclusion

Risk management should be a vital part of any software development project. Timely risk identification and analysis along with a carefully developed risk response strategy can minimize the negative impact of risks on the project’s outcome.

There are numerous approaches to categorizing risks in the IT field; however, there are two categories inherent to any software development project: technical risks that encompass everything related to technical processes, and organizational risks related to the development process.

A great deal of software development risks can be discovered at the earliest project stages. A proper approach to managing and identifying risks can prevent most risks from being realized. However, although risk management and mitigation start at the planning stage, they don’t end with it; that is why you should monitor current and upcoming risks right to the end of the SDLC. And the best way to do so is to create and manage a risk register .

  • A guide to the project management body of knowledge (PMBOK guide) — A book that defines standard terminology and provides guidelines for project management.
  • Security Risks in the Software Development Lifecycle , International Journal of Recent Technology and Engineering (IJRTE). The article presents a study of real-life practices employed in response to software security risks, reveals security risk management best practices, identifies pitfalls, and explores why these risks occur.
  • Defining Technical Risks in Software Development , University of Gothenburg. This article defines technical risks in software development and summarizes software engineers’ views on technical risks based on three workshops with 15 engineers of four software development companies.
  • Classification and analysis of risks in software engineering , Hooman Hoodat and Hassan Rashidi. This paper classifies risks in software development and explains software risk management concepts.
  • Risk analysis and management , Lavanya, N., Malarvizhi, T. The article presents the structured risk management process followed at Nokia Siemens Networks.
  • A practical risk management approach , Becker, Gregory M. The article explores risk identification and evaluation criteria and the risk management process.
  • Risk factors in software development projects: a systematic literature review , Júlio Menezes Júnior, Cristine Gusmao, Hermano Moura. This paper identifies and maps risk factors in environments of software development projects based on 41 studies.

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Risk Management in Software Development Projects: A Systematic Literature Review

S. L. Fahrenkrog, D. Bolles, J. D. Blaine, and C. Steuer, “PMBOK®guide: an overview of the changes,” Project Management Institute, Newtown Square, US, 2004.

S. Chaouch, A. Mejri, and S. A. Ghannouchi, “A framework for risk management in Scrum development process,” in Procedia Computer Science, 2019, vol. 164, pp. 187–192. doi: 10.1016/j.procs.2019.12.171.

L. Sarigiannidis, P. D. Chatzoglou, and others, “Software development project risk management: A new conceptual framework,” Journal of Software Engineering and Applications, vol. 4, no. 05, p. 293, 2011.

S. Rizky and others, “Konsep dasar rekayasa perangkat lunak,” Jakarta: Prestasi Pustaka, 2011.

T. Rudy, “Manajemen Proyek Sistem Informasi, bagaimana mengolah proyek sistem informasi secara efektif & efisien,” Andi Offset: Yogyakarta, 2016.

D. Crnković and M. Vukomanović, “Comparison of Trends in Risk Management Theory and Practices Within the Construction Industry,” Elektronički časopis građevinskog fakulteta Osijek, no. December 2016, pp. 1–11, 2016, doi: 10.13167/2016.13.1.

J. Partogi, “Manajemen Modern dengan Scrum,” Yogyakarta: Penerbit Andi, 2015.

B. Verma, M. Dhanda, B. Verma, and M. Dhanda, “A review on risk management in software projects,” International Journal, vol. 2, pp. 499–503, 2016.

Romi Satria Wahono, “A Systematic Literature Review of Software Defect Prediction: Research Trends, Datasets, Methods and Frameworks,” Andi Offset, vol. 1, no. 1, pp. 1–16, 2015, [Online]. Available: https://www.researchgate.net/publication/275945834_A_Systematic_Literature_Review_of_Software_Defect_Prediction_Research_Trends_Datasets_Methods_and_Frameworks

B. Kitchenham and S. Charters, “Guidelines for performing systematic literature reviews in software engineering,” 2007.

S. Sharma and B. Ram, “Causes of human errors in early risk assesment in software project management,” in ACM International Conference Proceeding Series, 2016, vol. 04-05-Marc, pp. 1–11. doi: 10.1145/2905055.2905069.

R. Gandhi, M. Germonprez, and G. J. P. Link, “Open Data Standards for Open Source Software Risk Management Routines,” in Proceedings of the 2018 ACM Conference on Supporting Groupwork, Jan. 2018, pp. 219–229. doi: 10.1145/3148330.3148333.

N. D. Linh, P. D. Hung, V. T. Diep, and T. D. Tung, “Risk Management in Projects Based on Open-Source Software,” in Proceedings of the 2019 8th International Conference on Software and Computer Applications, Feb. 2019, vol. Part F1479, pp. 178–183. doi: 10.1145/3316615.3316648.

S. Santos, F. Carvalho, Y. Costa, D. Viana, and L. Rivero, “Risking: A game for teaching risk management in software projects,” in Proceedings of the XVIII Brazilian Symposium on Software Quality, Oct. 2019, pp. 188–197. doi: 10.1145/3364641.3364662.

C. M. Tae, P. D. Hung, and L. D. Huynh, “Risk Management for Software Projects in Banking,” in PervasiveHealth: Pervasive Computing Technologies for Healthcare, Feb. 2020, pp. 65–69. doi: 10.1145/3387263.3387268.

P. Kumar, S. Gupta, M. Agarwal, and U. Singh, “Categorization and standardization of accidental risk-criticality levels of human error to develop risk and safety management policy,” Safety Science, vol. 85, pp. 88–98, Jun. 2016, doi: 10.1016/j.ssci.2016.01.007.

E. Han, A. V. M. Ines, and W. E. Baethgen, “Climate-Agriculture-Modeling and Decision Tool (CAMDT): A software framework for climate risk management in agriculture,” Environmental Modelling & Software, vol. 95, pp. 102–114, Sep. 2017, doi: 10.1016/j.envsoft.2017.06.024.

C. F. Oduoza, O. Odimabo, and A. Tamparapoulos, “Framework for Risk Management Software System for SMEs in the Engineering Construction Sector,” Procedia Manufacturing, vol. 11, no. June, pp. 1231–1238, 2017, doi: 10.1016/j.promfg.2017.07.249.

S. V. Shrivastava and U. Rathod, “A risk management framework for distributed agile projects,” Information and Software Technology, vol. 85, pp. 1–15, 2017, doi: 10.1016/j.infsof.2016.12.005.

W. S. Wan Husin, Y. Yahya, N. F. Mohd Azmi, N. N. Amir Sjarif, S. Chuprat, and A. Azmi, “Risk management framework for distributed software team: A case study of telecommunication company,” in Procedia Computer Science, 2019, vol. 161, pp. 178–186. doi: 10.1016/j.procs.2019.11.113.

V. Vujović et al., “Project planning and risk management as a success factor for IT projects in agricultural schools in Serbia,” Technology in Society, vol. 63, no. August, p. 101371, Nov. 2020, doi: 10.1016/j.techsoc.2020.101371.

A. S. Filippetto, R. Lima, and J. L. V. Barbosa, “A risk prediction model for software project management based on similarity analysis of context histories,” Information and Software Technology, vol. 131, Mar. 2021, doi: 10.1016/j.infsof.2020.106497.

U. I. Janjua, J. Jaafar, and F. W. Lai, “Expert’s opinions on software project effective risk management,” in 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), Aug. 2016, pp. 471–476. doi: 10.1109/ICCOINS.2016.7783261.

T. Lueddemann, S. Sahin, J. Pfeiffer, and T. C. Lueth, “Experimental evaluation of a novel ISO 14971 risk management software for medical devices,” in 2016 IEEE/SICE International Symposium on System Integration (SII), Dec. 2016, pp. 162–167. doi: 10.1109/SII.2016.7843992.

Y. Hsu, M.-F. Hsu, and S.-J. Lin, “Corporate risk estimation by combining machine learning technique and risk measure,” in 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), Jun. 2016, pp. 1–4. doi: 10.1109/ICIS.2016.7550763.

K. Ghane, “Quantitative planning and risk management of agile software development,” in 2017 IEEE Technology and Engineering Management Society Conference, TEMSCON 2017, Jun. 2017, pp. 109–112. doi: 10.1109/TEMSCON.2017.7998362.

A. Aslam et al., “Decision Support System for Risk Assessment and Management Strategies in Distributed Software Development,” IEEE Access, vol. 5, pp. 20349–20373, Oct. 2017, doi: 10.1109/ACCESS.2017.2757605.

M. Pasha, G. Qaiser, and U. Pasha, “A Critical Analysis of Software Risk Management Techniques in Large Scale Systems,” IEEE Access, vol. 6, no. c, pp. 12412–12424, 2018, doi: 10.1109/ACCESS.2018.2805862.

A. Boranbayev, S. Boranbayev, A. Nurusheva, K. Yersakhanov, and Y. Seitkulov, “A Software System for Risk Management of Information Systems∗,” in IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings, Oct. 2018, pp. 1–6. doi: 10.1109/ICAICT.2018.8747045.

P. Gouthaman and S. Sankaranarayanan, “Agile software risk management architecture for IoT-fog based systems,” in Proceedings of the International Conference on Smart Systems and Inventive Technology, ICSSIT 2018, Dec. 2018, pp. 48–51. doi: 10.1109/ICSSIT.2018.8748457.

O. E. Lieh and Y. Irawan, “Exploring Experiential Learning Model and Risk Management Process for an Undergraduate Software Architecture Course,” in 2018 IEEE Frontiers in Education Conference (FIE), Oct. 2018, vol. 2018-Octob, pp. 1–9. doi: 10.1109/FIE.2018.8659200.

Y.-T. Chen, “Modeling Information Security Threats for Smart Grid Applications by Using Software Engineering and Risk Management,” in 2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE), Aug. 2018, pp. 128–132. doi: 10.1109/SEGE.2018.8499431.

A. Senkov, “Intelligent Software Platform and End-Point Software for Risk Management,” in 2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Oct. 2018, no. 16, pp. 1–5. doi: 10.1109/FarEastCon.2018.8602702.

M. Hammad, I. Inayat, and M. Zahid, “Risk management in agile software development: A survey,” in Proceedings - 2019 International Conference on Frontiers of Information Technology, FIT 2019, Dec. 2019, pp. 162–166. doi: 10.1109/FIT47737.2019.00039.

V. Muntés-Mulero et al., “Agile risk management for multi-cloud software development,” IET Software, vol. 13, no. 3, pp. 172–181, Jun. 2019, doi: 10.1049/iet-sen.2018.5295.

V. G. Psoyants, A. I. Taganov, A. N. Kolesenkov, and I. v. Bodrova, “Risk Management Technology of Software Project Sustainability in Fuzzy Conditions,” in 2019 8th Mediterranean Conference on Embedded Computing (MECO), Jun. 2019, no. June, pp. 1–4. doi: 10.1109/MECO.2019.8760176.

V. Machado, P. Afonso, and H. Costa, “Risk Catalogs in Software Project Management,” in 2019 XLV Latin American Computing Conference (CLEI), Sep. 2019, vol. 2019-Janua, pp. 1–10. doi: 10.1109/CLEI47609.2019.9089044.

F. Wiesweg, A. Vogelsang, and D. Mendez, “Data-driven Risk Management for Requirements Engineering: An Automated Approach based on Bayesian Networks,” Proceedings of the IEEE International Conference on Requirements Engineering, vol. 2020-Augus, pp. 125–135, 2020, doi: 10.1109/RE48521.2020.00024.

A. Puri and S. Sharma, “Risk Management in Software Engineering Using Big Data,” in Proceedings of International Conference on Intelligent Engineering and Management, ICIEM 2020, Jun. 2020, pp. 63–68. doi: 10.1109/ICIEM48762.2020.9160170.

E. Khanna, R. Popli, and N. Chauhan, “Artificial Intelligence based Risk Management Framework for Distributed Agile Software Development,” in 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021, pp. 657–660.

B. Tenbergen and N. R. Mead, “Adapting a Software Acquisition Curriculum to Instruct Supply Chain Risk Management in a Project-Based Software Development Course,” in 2021 Third International Workshop on Software Engineering Education for the Next Generation (SEENG), 2021, pp. 36–40.

M. I. Lunesu, R. Tonelli, L. Marchesi, and M. Marchesi, “Assessing the Risk of Software Development in Agile Methodologies Using Simulation,” IEEE Access, vol. 9, pp. 134240–134258, 2021, doi: 10.1109/ACCESS.2021.3115941.

S. M. Avdoshin and E. Y. Pesotskaya, “Software Risk Management: Using the Automated Tools,” in CEUR Workshop Proceedings, vol. 963, 2016, pp. 85–97. doi: 10.1007/978-3-319-23929-3_8.

B. Roy, R. Dasgupta, and N. Chaki, “A Study on Software Risk Management Strategies and Mapping with SDLC,” in Advances in Intelligent Systems and Computing, vol. 396, Springer Verlag, 2016, pp. 121–138. doi: 10.1007/978-81-322-2653-6_9.

M. Felderer, F. Auer, and J. Bergsmann, “Risk Management During Software Development: Results of a Survey in Software Houses from Germany, Austria and Switzerland,” vol. 10224, J. Großmann, M. Felderer, and F. Seehusen, Eds. Cham: Springer International Publishing, 2017, pp. 143–155. doi: 10.1007/978-3-319-57858-3_11.

A. Stavert-Dobson, “Software Testing in Clinical Risk Management,” 2016, pp. 233–247. doi: 10.1007/978-3-319-26612-1_16.

D. Książkiewicz, “Risk Factor Classification GEMIO in the Planning Phase of Logistic Project Management,” M. Bąk, Ed. Cham: Springer International Publishing, 2016, pp. 211–219. doi: 10.1007/978-3-319-26848-4_19.

Y.-S. Chen, C.-K. Lin, and H.-M. Chuang, “Improving Project Risk Management of Cloud CRM Using DANP Approach,” in Lecture Notes in Electrical Engineering, vol. 375, 2016, pp. 1023–1031. doi: 10.1007/978-981-10-0539-8_100.

V. Boyko, N. Rudnichenko, S. Kramskoy, Y. Hrechukha, and N. Shibaeva, “Concept Implementation of Decision Support Software for the Risk Management of Complex Technical System,” in Advances in Intelligent Systems and Computing, vol. 512, 2017, pp. 255–269. doi: 10.1007/978-3-319-45991-2_17.

K. A. Demir, “3PR Framework for Software Project Management: People, Process, Product, and Risk,” 2017, pp. 143–170. doi: 10.1007/978-3-319-54325-3_7.

E. E. Odzaly, D. Greer, and D. Stewart, “Agile risk management using software agents,” Journal of Ambient Intelligence and Humanized Computing, vol. 9, no. 3, pp. 823–841, Jun. 2018, doi: 10.1007/s12652-017-0488-2.

T. Hussain, “Risk management in software engineering: What still needs to be done,” in Advances in Intelligent Systems and Computing, 2019, vol. 857, pp. 515–526. doi: 10.1007/978-3-030-01177-2_37.

Y. M. García, M. Muñoz, J. Mejía, G. P. Gasca, and A. Mireles, “Application of a risk management tool focused on helping to small and medium enterprises implementing the best practices in software development projects,” in Advances iGarcía, Y. M., Muñoz, M., Mejía, J., Gasca, G. P., & Mireles, A. (2018). Application of a risk management tool focused on helping to small and medium enterprises implementing the best practices in software development projects. Advances in Intel, 2018, vol. 746, pp. 429–440. doi: 10.1007/978-3-319-77712-2_41.

P.-F. Gu, J.-Z. Tang, W.-H. Chen, and others, “Risk Analysis and Management of Software V&V Activities in NPPs,” in International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection for Nuclear Power Plant, 2018, pp. 123–128.

O. L. Loaiza and J. M. de León, “Adaptation of open up in the scrum framework to improve compliance in scope, risk management and delivery times in software development projects,” in Proceedings of the Computational Methods in Systems and Software, 2019, pp. 404–418.

D. Ionita, C. van der Velden, H. J. K. Ikkink, E. Neven, M. Daneva, and M. Kuipers, “Towards risk-driven security requirements management in agile software development,” in Lecture Notes in Business Information Processing, 2019, vol. 350, pp. 133–144. doi: 10.1007/978-3-030-21297-1_12.

L. Ferreira, A. Pilastri, C. Martins, P. Santos, and P. Cortez, “A Scalable and Automated Machine Learning Framework to Support Risk Management,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12613 LNAI, 2021, pp. 291–307. doi: 10.1007/978-3-030-71158-0_14.

M. Roy, N. Deb, A. Cortesi, R. Chaki, and N. Chaki, “Requirement-oriented risk management for incremental software development,” Innovations in Systems and Software Engineering, vol. 17, no. 3, pp. 187–204, Sep. 2021, doi: 10.1007/s11334-021-00406-6.

J. Finger, K. Ross, I. Häring, E.-M. Restayn, and U. Siebold, “Open Chance and Risk Management Process Supported by a Software Tool for Improving Urban Security,” European Journal for Security Research, vol. 6, no. 1, pp. 39–71, Apr. 2021, doi: 10.1007/s41125-021-00072-6.

E. Patelli, A Multi-Disciplinary Software Suite for Uncertainty Quantification and Risk Management, no. November. Cham: Springer International Publishing, 2016. doi: 10.1007/978-3-319-11259-6.

A. K. Chinemeze and B. C. Mbam, “Impact of Risk Managementon Software Projectsin Nigeria Using Linear Programming,” no. 7, pp. 142–147, 2019, [Online]. Available: https://www.researchgate.net/profile/Kyrian-Adimora-2/publication/347937527_U0807186192/links/5fe8dfd9299bf14088503489/U0807186192.pdf

A. Iordache and A. Woinaroschy, “Drinking Water Quality Risk Management. Risk Analysis of Nitrogen Groundwater Contamination Using Analytica Software,” Revista de Chimie, vol. 70, no. 11, pp. 3971–3976, Dec. 2019, doi: 10.37358/RC.19.11.7684.

W. Khan, “A Review on Some Pertinent Software Security Risk Management Frameworks,” no. September 2020, pp. 5–10, 2021.

J. Nyfjord, “Towards integrating agile development and risk management,” Institutionen för data-och systemvetenskap (tills m KTH), 2008.

Schwaber Ken and Sutherland Jeff, “Panduan Definitif untuk Scrum: Aturan Permainan,” Scrum.Org, no. November, pp. 1–17, 2020.

A. Moran, “Agile risk management,” in Agile Risk Management, Springer, 2014, pp. 33–60.

M. el Bajta and A. Idri, “Identifying Risks of Software Project Management in Global Software Development: An Integrative Framework,” in Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications, Sep. 2020, pp. 1–5. doi: 10.1145/3419604.3419780.

M. A. Rafeek, A. F. Arbain, and E. Sudarmilah, “Risk mitigation techniques in agile development processes,” International Journal of Supply Chain Management, vol. 8, no. 2, pp. 1123–1129, 2019.

J. Masso, F. J. Pino, C. Pardo, F. García, and M. Piattini, “Risk management in the software life cycle: A systematic literature review,” Computer Standards and Interfaces, vol. 71. Elsevier B.V., Aug. 01, 2020. doi: 10.1016/j.csi.2020.103431.

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Project Risk Analysis

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In Project Management , Project risk analysis is a component of effective project management, assessing, and mitigating potential threats that may impact the successful completion of a project. In order to ascertain the possibility and possible impact of risks, as well as to develop management or elimination methods, it is necessary to carefully evaluate many aspects in an iterative process.

Table of Content

What is Project Risk Analysis?

How to analyze project risks, project risk analysis tools & techniques, types of project risk analysis, case studies of project risk analysis, challenges of project risk analysis, benefits of project risk analysis, best practices for effective risk analysis in projects, conclusion: project risk analysis, faqs:project risk analysis.

Project risk analysis entails creating risk response strategies specific to every danger that is detected. These plans specify the precise steps that must be done to transfer, minimize, accept, or avoid the risk. Organizations can avoid the negative effects of unplanned occurrences and sustain project momentum by proactively planning for probable contingencies.

The methodical process of locating, evaluating, and controlling the hazards that could compromise a project’s successful completion is known as project risk analysis. It entails assessing risks and possible dangers to project goals, including budget, time, scope, and quality, and creating plans to successfully manage or address these hazards. Project risk analysis’s main objective is to proactively detect and handle possible problems before they become serious ones to increase the possibility that the project will succeed.

When evaluating project risks, you should take three factors into account: risk exposure, risk impact, and risk probability. Risk analysis, both qualitative and quantitative, can be used to estimate these three factors.

1. Risk Probability

  • Qualitative Analysis: This method determines the possibility of a risk materializing by utilizing experience and subjective judgment. One can use methods like probability matrices, risk rating scales, and expert opinion.
  • Quantitative Analysis: To evaluate the probability of risks, quantitative methods use numerical data and statistical models, in contrast to qualitative analysis. This could use methods like decision trees, historical data analysis, and Monte Carlo simulations.

2. Risk Impact

  • Financial Impact: Consider the possible financial repercussions of a risk, including direct and indirect expenses as well as possible revenue loss.
  • Impact on Schedule: Evaluate the potential effects of a risk on the project schedule, such as missed deadlines for completing tasks or reaching milestones.
  • Impact on Resources : Take into account the effects on supplies, machinery, labor, and other project resources.
  • Impact on Quality: Assess the potential effects of a risk on project results or deliverable quality requirements.

3. Risk Exposure

  • Assessing Acceptability: Use the risk exposure calculation to ascertain whether the company is prepared to take on the possible losses that come with a risk. This computation aids in risk prioritization according to likelihood and total impact.
  • Risk Mitigation : Strategies for reducing risk likelihood or impact should be created in order to lessen the predicted risk exposure if it is deemed unacceptable.
  • Risk Transfer or Avoidance: If an organization’s risk exposure is judged to be too large or to be outside of its risk tolerance threshold, it may decide to transfer or completely avoid hazards.

Managers can make better decisions by using a variety of risk analysis techniques and resources. Project management documents and charts are examples of instruments used in risk analysis that are used in some of these. Now let’s explore these risk analysis techniques and see how they might benefit you.

1. Team Brainstorming Sessions

Participating in brainstorming sessions with team members guarantees that different viewpoints are taken into account when calculating the probability and effect of risks. A more accurate risk assessment can be achieved by utilizing the team’s collective expertise and experience to identify potential threats in a more thorough manner. Involvement in the team also promotes ownership and dedication to the risk management procedure, which raises the possibility that risk mitigation techniques will be effective.

2. Delphi Technique

The Delphi method uses a panel of experts’ knowledge to predict risks and their possible effects. Through expert discussion and debate, the method helps identify biases and blind spots, resulting in better informed risk assessments. This method’s consensus-building offers a strong basis for making decisions, especially in risk scenarios that are unclear or complex.

3. SWOT Analysis

A project’s internal strengths and weaknesses as well as exterior possibilities and dangers can be seen holistically with the use of a SWOT analysis. Project managers can use SWOT analysis as a method for risk analysis to find any weaknesses and outside variables that could endanger the success of their project. Through the consideration of both external and internal aspects, SWOT analysis aids in the proactive development of plans to reduce risks and take advantage of opportunities.

4. Risk Analysis Matrix

The risk analysis matrix offers an organized framework for assessing a danger’s likelihood and seriousness. Project managers can efficiently prioritize risks and allocate resources based on their level of importance. The matrix is a useful tool for directing risk management efforts and making sure that major hazards are addressed promptly, even though it only provides a qualitative assessment of risks.

5. Risk Register

For recording and monitoring project risks over the course of the project lifetime, the risk register acts as a central repository. The risk register offers a thorough perspective of the project’s risk environment by gathering crucial information about risks, including their nature, possible impact, and mitigation techniques. The risk register assists with proactive risk management by identifying and addressing possible issues before they become more serious. It does this by utilizing inputs from multiple sources, such as the project team and historical data.

1. Qualitative Risk Analysis

Qualitative risk analysis involves experts from the project team estimating the impact and likelihood of different risks based on their experience and past project data. To rate risks according to their impact (severity of consequences) and probability (chance of occurrence), they employ a scale. When a danger has a likelihood of 0.5, for instance, there is a 50% chance that it will materialize. On a five-point rating system, one represents the least severe impact and five the most severe. Following risk identification and analysis, a team member is designated as the risk owner, who is in charge of organizing and carrying out a response. By concentrating on high-impact risks and designating owners to handle them successfully, qualitative analysis helps projects become less uncertain.

2. Quantitative Risk Analysis

Quantitative risk analysis is a more statistical approach that examines how identified risks might affect the overall project. It entails calculating the likelihood that project goals will still be met in spite of these risks by counting the alternative outcomes. This analysis enhances risk control initiatives and gives project managers more confidence when making decisions. It assists, for example, in establishing reasonable goals for project scope, budgets, and schedules. The Monte Carlo simulation, which employs computational techniques to predict the possibility of various risks occurring, is one often used tool in quantitative analysis. During the planning and execution of a project, project managers can use this data to make well-informed decisions.

Case Study 1: Building a High-Rise Residential Structure

1. Recognizing Dangers

  • Identified hazards include unfavorable weather, problems with the supply chain, a labor shortage, and problems with regulatory compliance.
  • Organized risk brainstorming sessions with project managers, engineers, contractors, and regulatory agencies.

2. Evaluating Hazards

  • Evaluated each detected risk’s likelihood and its consequences using a qualitative method.
  • Based on their seriousness and probability of happening, risks were ranked, with the greatest influence on project finances and schedules coming first.

3. Planning for Mitigation

  • Developed mitigating measures, including recruiting backup workers, setting up alternate suppliers for essential commodities, and adjusting schedules to account for weather-related delays.
  • Safety training initiatives and compliance audits were put in place to reduce regulatory risks and guarantee worker safety.

4. Emergency Preparedness

  • Developed backup measures for high-impact risks, such as scheduling buffers and budget reserves for unforeseen expenses.
  • Established criteria and triggers for triggering backup plans, and evaluated their efficacy on a regular basis.

5. Observation and Management

  • Used important risk indicators, such as weather forecasts, supplier performance data, and regulatory compliance reports, to monitor project risks during the building phase.
  • A risk management plan was put into place to monitor risk reduction initiatives, keep risk registers up to date, and inform project stakeholders of developments pertaining to risks.

Case Study 2: Financial Institution Software Development

  • Hazards that have been identified include changes in scope, technical complexity, resource limitations, and security flaws.
  • Conducted requirements analysis meetings and stakeholder interviews to find any hazards related to software development and integration.
  • Evaluated the possibility and significance of each risk that was discovered using a combination of qualitative and quantitative techniques.
  • Risks were ranked according to how they might affect data security, project deliverables, and regulatory compliance.
  • Created techniques for mitigation, including cross-training team members to lessen resource restrictions, introducing change control procedures to manage scope changes, and addressing technical complexity through modular development.
  • Carried out frequent penetration tests and security assessments to find and fix any possible weaknesses in the software program.
  • Plans for backup development resources in case of personnel turnover and emergency response procedures in case of security breaches have been developed as contingency measures for critical risks.
  • Created channels of communication and escalation protocols to initiate backup plans when necessary.
  • Used data including code review reports, stakeholder comments, and security audit results to track project risks.
  • Conducted frequent risk assessments and status reports to monitor risk reduction initiatives, reevaluate risk priorities, and modify mitigation plans as needed.
  • Uncertainty: Projects can entail a large number of unknowns, which makes it difficult to precisely identify and forecast possible hazards.
  • Subjectivity in Risk Assessment: Risk assessment calls for subjective assessments that differ depending on the project’s stakeholders. Subjectivity in risk assessment and prioritization might result in prejudices and conflicts.
  • Lack of Historical Data: Occasionally, particularly for novel or inventive initiatives, there could not be enough historical data or benchmarks available to guide risk analysis.
  • Interrelated Risks: Risks in a project are frequently interrelated, which means that addressing one risk could unintentionally cause or worsen others. Sustaining these interdependencies calls for meticulous planning and collaboration.
  • Ignoring Certain Risks: Project teams have a tendency to ignore certain hazards, particularly those that are less evident or concealed from view. This may lead to insufficient methods for mitigating risks or unforeseen problems when the project is being carried out.
  • Dynamic Project Environments: Project environments are dynamic, meaning that risks alter over time as a result of adjustments made to rules, market conditions, technology, or stakeholder expectations. Staying on top of these changes means constantly observing and adjusting.
  • Proactive Risk Management: Early risk identification allows project teams to take proactive steps to reduce or eliminate risks. This is known as proactive risk management. By being proactive, risks have less of an impact on the goals of the project.
  • Informed Decision Making through Risk Analysis: Throughout the course of a project, risk analysis offers insightful information that facilitates well-informed decision making. Stakeholders in the project can evaluate the possible outcomes of various options and allocate resources appropriately.
  • Maximizing Resource Usage and Efficiency: Time, money, and manpower may all be used more wisely when project risks are recognized. Project teams can increase project efficiency and maximize resource usage by concentrating resources on high-priority hazards.
  • Proactive Risk Management: Enhanced Stakeholder trust: Showing that you have a solid grasp of project risks and are employing proactive risk management techniques helps to build stakeholder trust in the project’s capacity to meet its goals. This in turn cultivates confidence and backing from clients, sponsors, and other stakeholders involved in the project.
  • Implementing Cost Control Strategies: Project risk analysis makes it possible to implement better cost control strategies by seeing possible cost overruns early in the project lifecycle.
  • Schedule Risk Management: To reduce financial risk, this entails creating a contingency budget, negotiating contracts with suppliers, and putting cost-cutting measures in place.

1. Planning for Risk Management

Create a plan for risk management. Uncertainty surrounds every project. Establishing a well-defined risk management plan at the outset establishes the framework for managing hazards. Risk appetite, roles and responsibilities, data sources and technologies, and the frequency and timing of risk management actions should all be outlined in the strategy.

2. Qualitative and Quantitative Approaches

Both qualitative and quantitative approaches are used in qualitative and quantitative risk analysis. Quantitative risk analysis, such as Monte Carlo simulations, adds depth to the risk assessment by providing numerical estimates of possible outcomes, while qualitative risk analysis helps prioritize risks based on probability and impact.

3. Frequent Re-evaluation of Risk

Make iterative assessments of the risks. Projects change as they go, bringing with them new and evolving hazards. Plan frequent risk assessment meetings to identify and handle these situations, so the team isn’t taken by surprise.

Related Articles:

An essential step in locating, evaluating, and reducing any risks to a project’s success is project risk analysis. Through a careful evaluation of uncertainties and the application of proactive tactics, institutions can improve their ability to make decisions, reduce disturbances, and increase the probability that project goals will be met on schedule and within budget.

1. What is project risk analysis?

Ans: The methodical process of locating, evaluating, ranking, and reducing possible risks or uncertainties that might have an impact on a project’s success is known as project risk analysis.

2. Why is the analysis of project risk important?

Ans: Project risk analysis is crucial because it assists teams and project managers in foreseeing possible issues, creating solutions for them, and ultimately raising the possibility of project success by lowering uncertainty and skillfully managing risks.

3. What steps are involved in qualitative risk analysis?

Ans: Project team members’ feedback is gathered, risks are evaluated for likelihood and impact, they are categorized, risk owners are assigned, and action plans are created as part of qualitative risk analysis.

4. Which risk analysis are the most common ones?

Ans: Both qualitative and quantitative risk analyses are the two main kinds. Comparatively to qualitative analysis, which depends on expert opinion and subjective judgment, quantitative analysis evaluates risk impacts and probability using statistical techniques and numerical data.

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Global Software Project Management: A Case Study

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  • Petra Björndal 10 ,
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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 54))

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Global software development (GSD) is a growing phenomenon in industry, including the ABB Group of companies, which has a long history of executing globally distributed development projects. Geographic and temporal separation, culturally-based misunderstandings, and language effects are well-described complications for GSD teams. These factors aggravate issues (on both a practical and a leadership level) in communication, trust, and coordination, impeding the effective sharing and management of team knowledge, and creating risks to project success. In the interest of continually improving our business performance, ABB has joined the research community in exploring these issues and ways to increase awareness and tactical support for GSD project managers. In this paper, we present aggregate findings from qualitative interviews with people across different sites in the organization, and describe how identifying, measuring, and actively managing GSD-related risks can help project managers and leaders in planning and executing projects more effectively.

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Sangwan, R., Bass, M., Nullick, N., Paulish, D.L., Kazmeier, J.: Global Software Development Handbook. Auerbach Publications, Boca Raton (2007)

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Herbsleb, J., Paulish, D.J., Bass, M.: Global software development at Siemens: Experience from nine projects. In: International Conference on Software Engineering (ICSE), St. Louis, MO, USA, May 15-21, pp. 524–533 (2005), doi:10.1109/ICSE.2005.1553598

Herbsleb, J., Mockus, A., Finholt, T.A., Grinter, R.E.: Distance, dependencies, and delay in a global collaboration. In: ACM Conference on Computer-Supported Cooperative Work (CSCW), Philadelphia, PA, USA, December 2-7, pp. 319–328 (2000), CSCW 2000 - 10.1145/358916.359003

Snipes, W., Smiley, K., Krishnan, P.M., Björndal, P.: Measuring Collaboration in Globally Distributed Software Development Teams. In: Proc. First Workshop on Human Aspects of Software Engineering (HAoSE 2009) at OOPSLA, Orlando, Florida (2009)

Basili, V.R., Caldiera, G., Rombach, H.D.: The Goal Question Metric Approach. In: Basili, V.R., Caldiera, G., Rombach, H.D. (eds.) Encyclopedia of Software Engineering. John Wiley & Sons, Inc., Chichester (1994)

Miles, M.B., Huberman, A.M.: Qualitative Data Analysis: An Expanded Sourcebook, 2nd edn. SAGE Publications, Thousand Oaks (1994)

Herbsleb, J., Moitra, D.: Global software development, guest editor’s introduction. IEEE Software 18, 16–20 (2001), doi:10.1109/52.914732

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Teasley, S.D., Covi, L.A., Krishnan, M.S., Olson, J.S.: Rapid software development through team collocation. IEEE Transactions on Software Engineering 28(7), 671–683 (2002), doi:10.1109/TSE.2002.1019481

Bird, C., Nagappan, N., Devanbu, P., Gall, H., Murphy, B.: Does distributed development affect software quality? An empirical case study of Windows Vista. In: IEEE 31st International Conference on Software Engineering (ICSE), Vancouver, BC, Canada, May 16-24, pp. 518–528 (2009), doi:10.1109/ICSE.2009.5070550

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    This paper aims to identify and to map risk factors in environments of software development projects. We conducted a systematic literature review through a database search, as well as we performed an assessment of quality of the selected studies. All this process was conducted through a research protocol.

  9. PDF Risk Management in Software Development Projects

    The risk management process consists of all the activities necessary to identify risks that may potentially impact the software project [8]. The importance of risk management in software ...

  10. Analyzing and Modeling Critical Risks in Software Development Projects

    Previous studies involving risk management in software development projects have focused on risk identification techniques such as Delphi, complex scenario analysis techniques such as Factor Analysis, literature revision, analogies with economic concepts, proposals for adopting frameworks, and lessons learned from experienced project managers ...

  11. Risk factors in software development projects: a systematic ...

    Risks are an inherent part of any software project. The presence of risks in environments of software development projects requires the perception so that the associated factors do not lead projects to failure. The correct identification and monitoring of these factors can be decisive for the success of software development projects and software quality. However, in practice, risk management ...

  12. A risk prediction model for software project management based on

    The research conducted a case study in a software development company. The study was applied in two scenarios. The first involved two teams that assessed the use of the prototype during the implementation of 5 projects. ... Risk Management: The model features resources for risk management. Project teams identify risks, analyze (qualitative and ...

  13. Managing risk in software development projects: a case study

    A combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks in software development projects from developers' perspective is used. Purpose - The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective.

  14. Project risk management: lessons learned from software development

    Roberts (2001) suggested the following lessons learned for project risk management. •. The greatest risk driver is often overlooked. •. Inappropriate attention may be given to one risk driver over others. •. Often a risk driver will impact all facets of risk (cost, schedule, technical, etc.) and the integrated result will be improperly ...

  15. Risk on Complex Projects : a Case Study

    Fosters decision-making thinking (NASA, 2008). This paper has presented a case study about a very complex project: the engineering design, procurement, and construction of a 400,000 barrel oil refinery. We hope that you have learned about risk on complex projects and mitigation of risk in the design and procurement phases.

  16. 9 Risks in Software Development and How to Mitigate Them

    Software development risk management in software development is a five-step process: planning, risk identification and categorization, risk analysis, risk response planning, and risk monitoring and control. You can't identify all risks during the discovery phase; that's why risk management is an integral part of the software development ...

  17. (PDF) Risk Management in Software Development Projects ...

    The goal of this work was to identify risk management gaps, perspectives, the evolution of the theme and the study trends, in software development projects, using systematic literature review as a ...

  18. Case study on risk management practice in large offshore‐outsourced

    The risk profile and risk resolution techniques observed from the case study can be used as inputs for a detailed investigation (e.g., a Delphi study) to develop a framework for identifying, assessing and managing software development risks in Agile projects in the offshore-outsourced context, in line with the GDSP framework .

  19. Risk Management in Software Development Projects: A Systematic ...

    This paper takes a systematic approach to reviewing articles containing risk management in software development projects. This study collects papers and journals included in the international online library database, then summarizes them according to the stages of the PICOC methodology.

  20. Project Risk Analysis

    A risk management plan was put into place to monitor risk reduction initiatives, keep risk registers up to date, and inform project stakeholders of developments pertaining to risks. Case Study 2: Financial Institution Software Development. 1. Recognizing Dangers

  21. PDF Global Software Project Management: A Case Study

    Global Software Project Management: A Case Study 65 associated with GSD projects, and by actively focusing on giving risk management guidance to project managers on how to mitigate or avoid these issues. 2 Background on GSD Project Management Execution of GSD projects is not new to the industry, and during the past two decades

  22. A case study of risk management in agile systems development

    study ris k manag ement in agile developme nt projec ts. The purpose of this research was to a scertain. the extent to which risk manag ement practices a re incorporate d into agile develop ment ...

  23. Software Development Case Studies

    Here are more than 130 projects we accomplished for our clients. Browse to find case studies related to your industry, the required expertise, or services. Service. Automated testing. Back-end development. Custom software development. Data migration services. Dedicated team. DevOps.

  24. Global Software Project Management: A Case Study

    Abstract. Global software development (GSD) is a growing phenomenon in industry, including the ABB Group of companies, which has a long history of executing globally distributed development projects. Geographic and temporal separation, culturally-based misunderstandings, and language effects are well-described complications for GSD teams.