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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | © 2022 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/). | 271.92 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License