Improvements for the Planning Process in the Scrum Method
In today’s dynamic development environments, agile methodologies like Scrum are essential for effective software project management. Despite its popularity, the Scrum framework’s reliance on subjective intuition during the sprint planning process can lead to inconsistencies and project delays. This...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/202 |
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| author | Miroslav Žáček Adéla Hamplová Jan Tyrychtr Ivan Vrana |
| author_facet | Miroslav Žáček Adéla Hamplová Jan Tyrychtr Ivan Vrana |
| author_sort | Miroslav Žáček |
| collection | DOAJ |
| description | In today’s dynamic development environments, agile methodologies like Scrum are essential for effective software project management. Despite its popularity, the Scrum framework’s reliance on subjective intuition during the sprint planning process can lead to inconsistencies and project delays. This study aims to enhance the sprint planning phase by integrating the BeCoMe method, which is a mathematical approach designed to optimize task selection through structured compromise solutions. Utilizing a soft systems methodology, this research identifies and analyzes the existing inefficiencies in Scrum’s planning process. The implementation of the BeCoMe method in a real-world case study demonstrated significant improvements in task completion rates and overall project efficiency. The method’s structured process reduces biases, fosters team consensus, and enhances decision-making accuracy. The findings suggest that incorporating the BeCoMe method into Scrum can substantially mitigate risks, save time, and improve project outcomes by ensuring a more objective and data-driven approach to sprint planning. These insights are crucial for developers managing modern software projects, offering a robust framework for enhancing planning efficiency and success rates. |
| format | Article |
| id | doaj-art-86d32e358b464b3eb27f3444b0042335 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-86d32e358b464b3eb27f3444b00423352025-01-10T13:14:46ZengMDPI AGApplied Sciences2076-34172024-12-0115120210.3390/app15010202Improvements for the Planning Process in the Scrum MethodMiroslav Žáček0Adéla Hamplová1Jan Tyrychtr2Ivan Vrana3Department of Information Engineering, Faculty of economics & Management, Czech University of Life Sciences in Prague, Kamýcká 129, 16500 Prague, Czech RepublicDepartment of Information Engineering, Faculty of economics & Management, Czech University of Life Sciences in Prague, Kamýcká 129, 16500 Prague, Czech RepublicDepartment of Information Engineering, Faculty of economics & Management, Czech University of Life Sciences in Prague, Kamýcká 129, 16500 Prague, Czech RepublicDepartment of Information Engineering, Faculty of economics & Management, Czech University of Life Sciences in Prague, Kamýcká 129, 16500 Prague, Czech RepublicIn today’s dynamic development environments, agile methodologies like Scrum are essential for effective software project management. Despite its popularity, the Scrum framework’s reliance on subjective intuition during the sprint planning process can lead to inconsistencies and project delays. This study aims to enhance the sprint planning phase by integrating the BeCoMe method, which is a mathematical approach designed to optimize task selection through structured compromise solutions. Utilizing a soft systems methodology, this research identifies and analyzes the existing inefficiencies in Scrum’s planning process. The implementation of the BeCoMe method in a real-world case study demonstrated significant improvements in task completion rates and overall project efficiency. The method’s structured process reduces biases, fosters team consensus, and enhances decision-making accuracy. The findings suggest that incorporating the BeCoMe method into Scrum can substantially mitigate risks, save time, and improve project outcomes by ensuring a more objective and data-driven approach to sprint planning. These insights are crucial for developers managing modern software projects, offering a robust framework for enhancing planning efficiency and success rates.https://www.mdpi.com/2076-3417/15/1/202software project management methodologiesagile methodologiesScrum planning processsprint planningBeCoMe methodtask selection optimization |
| spellingShingle | Miroslav Žáček Adéla Hamplová Jan Tyrychtr Ivan Vrana Improvements for the Planning Process in the Scrum Method Applied Sciences software project management methodologies agile methodologies Scrum planning process sprint planning BeCoMe method task selection optimization |
| title | Improvements for the Planning Process in the Scrum Method |
| title_full | Improvements for the Planning Process in the Scrum Method |
| title_fullStr | Improvements for the Planning Process in the Scrum Method |
| title_full_unstemmed | Improvements for the Planning Process in the Scrum Method |
| title_short | Improvements for the Planning Process in the Scrum Method |
| title_sort | improvements for the planning process in the scrum method |
| topic | software project management methodologies agile methodologies Scrum planning process sprint planning BeCoMe method task selection optimization |
| url | https://www.mdpi.com/2076-3417/15/1/202 |
| work_keys_str_mv | AT miroslavzacek improvementsfortheplanningprocessinthescrummethod AT adelahamplova improvementsfortheplanningprocessinthescrummethod AT jantyrychtr improvementsfortheplanningprocessinthescrummethod AT ivanvrana improvementsfortheplanningprocessinthescrummethod |