Impact of Key Scrum Role Locations in Student Distributed Software Development Projects
2023 (English)In: Software Eng Educ Proc, Institute of Electrical and Electronics Engineers Inc. , 2023, p. 69-78Conference paper, Published paper (Refereed)
Abstract [en]
Employing an agile development methodology, particularly Scrum, in a distributed student project setting is challenging for both teachers and involved students. Allowing distributed student teams to self-organize and assign key Scrum roles using various strategies, specifically regarding the locations of students taking on key roles, increases the complexity of such projects. In addition, the interaction of the Project Owner role with the project customer, which occurs outside the distributed student team, adds a new dimension to this problem. This paper investigates the impact of various key role assignment strategies, and their interactions, on the performance of distributed student projects. Furthermore, we investigate the intensity of collaboration within the distributed team and between key project roles, as well as their impact on project performance. We analyzed data collected on 37 distributed student projects conducted over the course of eight academic years. The results reveal that letting students assign key project roles regardless of their location in the distributed team has no significant impact on the quality of project outcomes. However, a deeper analysis uncovers that more educationally desirable assignments of those roles exist; favoring increased collaboration intensity within distributed student teams.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023. p. 69-78
Keywords [en]
distributed software development, Scrum, software engineering education, team roles, Location, Project management, Software design, Agile development methodologies, Distributed teams, Project roles, Scra, Software development projects, Student project, Student teams, Students
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-64549DOI: 10.1109/CSEET58097.2023.00018Scopus ID: 2-s2.0-85173599824ISBN: 9798350322026 (print)OAI: oai:DiVA.org:mdh-64549DiVA, id: diva2:1805700
Conference
Software Engineering Education Conference, Proceedings
2023-10-182023-10-182023-10-18Bibliographically approved