Software Project Risk Identification Based on Scrum Artifacts
Risk identification, as a foundational step in risk management, is essential for the success of software development projects, including those using the Scrum methodology. However, risk management in Scrum often lacks structured practices, relying instead on the iterative and collaborative nature of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/824 |
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| author | Lina Bisikirskienė Lina Čeponienė Gytis Vilutis Adelė Nečionytė |
| author_facet | Lina Bisikirskienė Lina Čeponienė Gytis Vilutis Adelė Nečionytė |
| author_sort | Lina Bisikirskienė |
| collection | DOAJ |
| description | Risk identification, as a foundational step in risk management, is essential for the success of software development projects, including those using the Scrum methodology. However, risk management in Scrum often lacks structured practices, relying instead on the iterative and collaborative nature of the methodology. This paper presents a novel risk identification framework tailored for Scrum projects, leveraging Scrum artifacts and their associated attributes to enhance risk detection and analysis. The framework encompasses automated data collection from project management environments, such as Jira, thus minimizing the effort required from the project team for risk-related data gathering. By monitoring deviations in artifact attributes and applying predefined thresholds, the framework facilitates the detection of risks at any point in the project lifecycle. Experimental evaluation across three distinct Scrum projects demonstrated the framework’s applicability in identifying a wide range of risks, including long-term ones. The proposed framework contributes to Agile project management by offering a structured, automated approach to risk identification, fostering a culture of proactive risk management within Scrum teams. |
| format | Article |
| id | doaj-art-168cfc150cd346eebf7420e756a44d8e |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-168cfc150cd346eebf7420e756a44d8e2025-01-24T13:20:58ZengMDPI AGApplied Sciences2076-34172025-01-0115282410.3390/app15020824Software Project Risk Identification Based on Scrum ArtifactsLina Bisikirskienė0Lina Čeponienė1Gytis Vilutis2Adelė Nečionytė3Department of Information Systems, Faculty of Informatics, Kaunas University of Technology, 44249 Kaunas, LithuaniaDepartment of Information Systems, Faculty of Informatics, Kaunas University of Technology, 44249 Kaunas, LithuaniaDepartment of Applied Informatics, Faculty of Informatics, Kaunas University of Technology, 44249 Kaunas, LithuaniaDepartment of Information Systems, Faculty of Informatics, Kaunas University of Technology, 44249 Kaunas, LithuaniaRisk identification, as a foundational step in risk management, is essential for the success of software development projects, including those using the Scrum methodology. However, risk management in Scrum often lacks structured practices, relying instead on the iterative and collaborative nature of the methodology. This paper presents a novel risk identification framework tailored for Scrum projects, leveraging Scrum artifacts and their associated attributes to enhance risk detection and analysis. The framework encompasses automated data collection from project management environments, such as Jira, thus minimizing the effort required from the project team for risk-related data gathering. By monitoring deviations in artifact attributes and applying predefined thresholds, the framework facilitates the detection of risks at any point in the project lifecycle. Experimental evaluation across three distinct Scrum projects demonstrated the framework’s applicability in identifying a wide range of risks, including long-term ones. The proposed framework contributes to Agile project management by offering a structured, automated approach to risk identification, fostering a culture of proactive risk management within Scrum teams.https://www.mdpi.com/2076-3417/15/2/824risk managementscrumagile project managementrisk identification |
| spellingShingle | Lina Bisikirskienė Lina Čeponienė Gytis Vilutis Adelė Nečionytė Software Project Risk Identification Based on Scrum Artifacts Applied Sciences risk management scrum agile project management risk identification |
| title | Software Project Risk Identification Based on Scrum Artifacts |
| title_full | Software Project Risk Identification Based on Scrum Artifacts |
| title_fullStr | Software Project Risk Identification Based on Scrum Artifacts |
| title_full_unstemmed | Software Project Risk Identification Based on Scrum Artifacts |
| title_short | Software Project Risk Identification Based on Scrum Artifacts |
| title_sort | software project risk identification based on scrum artifacts |
| topic | risk management scrum agile project management risk identification |
| url | https://www.mdpi.com/2076-3417/15/2/824 |
| work_keys_str_mv | AT linabisikirskiene softwareprojectriskidentificationbasedonscrumartifacts AT linaceponiene softwareprojectriskidentificationbasedonscrumartifacts AT gytisvilutis softwareprojectriskidentificationbasedonscrumartifacts AT adelenecionyte softwareprojectriskidentificationbasedonscrumartifacts |