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School of Business | Department of Information and Service Economy | Technology Management and Policy | 2012
Thesis number: 12811
Optimizing release planning under Scrum in complex multi-team software projects. Case: Nokia Siemens Networks
| Author: | Tolstukhin, Anatoly |
| Title: | Optimizing release planning under Scrum in complex multi-team software projects. Case: Nokia Siemens Networks |
| Year: | 2012 Language: eng |
| Department: | Department of Information and Service Economy |
| Academic subject: | Technology Management and Policy |
| Index terms: | teknologia; technology; tietojärjestelmät; information systems; suunnittelu; planning; tuotekehitys; product development; tiimit; teams; yhteistyö; cooperation |
| Pages: | 112 |
| Full text: | |
| Key terms: | agile; release planning; effort estimations; velocity; multi-team; distributed; software development; Scrum; case study |
| Abstract: |
The aim of this thesis was to identify and explore existing challenges in large-scale agile projects and to provide recommendations on how to optimize release planning and tracking methods under Scrum in a complex multi-team software development environment. Importance of velocity and effort estimations, as well as visibility and allocation of user stories in a multi-team setting were particularly addressed in this study.
The results of this study include empirical findings related to agile release planning and tracking methods in a complex agile development environment to support more accurate decision-making. New management tools were developed for practical use, which support the main results of this thesis. The findings are based on an actual case study and full-time thesis work at Nokia Siemens Networks. The results were presented to the leadership team and management of the organization where I worked, and demonstrated practical benefit for the case company. Additionally, this thesis includes a practical application of results to highlight how improved visibility could support better release planning and tracking in multi-team agile software development projects. The tools proved to be useful and were put to deployment in the case company. |
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