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Problem reports and team maturity in agile automotive software development
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-5488-9894
Chalmers, University of Gothenburg, SWE.
2022 (English)In: Proceedings - 15th International Conference on Cooperative and Human Aspects of Software Engineering, CHASE 2022, Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 41-45Conference paper, Published paper (Refereed)
Abstract [en]

Background: Volvo Cars is pioneering an agile transformation on a large scale in the automotive industry. Social psychological aspects of automotive software development are an under-researched area in general. Few studies on team maturity or group dynamics can be found specifically in the automotive software engineering domain. Objective: This study is intended as an initial step to fill that gap by investigating the connection between issues and problem reports and team maturity. Method: We conducted a quantitative study with 84 participants from 14 teams and qualitatively validated the result with the Release Train Engineer having an overview of all the participating teams. Results: We find that the more mature a team is, the faster they seem to resolve issues as provided through external feedback, at least in the two initial team maturity stages. Conclusion: This study suggests that working on team dynamics might increase productivity in modern automotive software development departments, but this needs further investigation. © 2022 ACM.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 41-45
Keywords [en]
Software design, Agile transformations, Automotive software, Automotive software development, Group dynamics, Large-scales, Problem report, Psychological Aspects, Software engineering domain, Team, Team maturity, Automotive industry, problem reports, teams
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-23547DOI: 10.1145/3528579.3529173ISI: 000852492100006Scopus ID: 2-s2.0-85133957880ISBN: 9781450393423 (print)OAI: oai:DiVA.org:bth-23547DiVA, id: diva2:1687222
Conference
15th International Conference on Cooperative and Human Aspects of Software Engineering, CHASE 2022, Pittsburgh, 18 May through 19 May 2022
Note

open access

Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2022-12-13Bibliographically approved

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fulltext(225 kB)110 downloads
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Gren, Lucas

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