Aaltodoc publication archive (Aalto University institutional repository)
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
|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|
» hse_ethesis_12811.pdf size:6 MB (5543515)
|Key terms:||agile; release planning; effort estimations; velocity; multi-team; distributed; software development; Scrum; case study|
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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