Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29246
Title: Problem reports and team maturity in agile automotive software development
Authors: Gren, L
Shepperd, M
Keywords: automotive software development;teams;team maturity;problem reports
Issue Date: 21-May-2022
Publisher: Association for Computing Machinery
Citation: Gren, C. and Shepperd, M. (2022) 'Problem reports and team maturity in agile automotive software development', CHASE '22: Proceedings of the 15th International Conference on Cooperative and Human Aspects of Software Engineering, Pittsburgh, PA, USA, 21 May, pp. 41 - 45. doi: 10.1145/3528579.3529173.
Abstract: 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.
Description: The Supplementary Material is available on Zenodo (1https://www.doi.org/10.5281/zenodo.6400809). It includes an anonymized raw data CSV file and all the R scripts used.
URI: https://bura.brunel.ac.uk/handle/2438/29246
DOI: https://doi.org/10.1145/3528579.3529173
ISBN: 978-1-4503-9342-3
Other Identifiers: ORCiD: Martin Shepperd https://orcid.org/0000-0003-1874-6145
Appears in Collections:Dept of Computer Science Research Papers

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