Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed,
"TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development"
: 15th IEEE/ACM Joint International Conference on Software and System Processes, and 16th ACM/IEEE International Conference on Global Software Engineering ICSSP/ICGSE 2021, Madrid, Spain, May 17-19, 2021, IEEE, Seite(n) 39-49, 5-2021
Original Titel:
TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development
Sprache des Titels:
Englisch
Original Buchtitel:
15th IEEE/ACM Joint International Conference on Software and System Processes, and 16th ACM/IEEE International Conference on Global Software Engineering ICSSP/ICGSE 2021, Madrid, Spain, May 17-19, 2021
Original Kurzfassung:
In this paper, we propose a recommendation approach ? TaskAllocator ? in order to predict the assignment of incoming tasks to potential befitting roles. The proposed approach, identifying team roles rather than individual persons, allows project managers to perform better tasks allocation in case the individual developers are over-utilized or moved on to different roles/projects. We evaluated our approach on ten agile case study projects obtained from the Taiga. io repository. In order to determine the TaskAllocator?s performance, we have conducted a benchmark study by comparing it with contemporary machine learning models. The applicability of the TaskAllocator was assessed through a plugin that can be integrated with JIRA and provides recommendations about suitable roles whenever a new task is added to the project. Lastly, the source code of the plugin and the dataset employed have been made public.