Detecting the functional interaction structure of software development teams.

Autor: Zingg C; Chair of Systems Design, ETH Zurich, Zurich, Switzerland., von Gernler A; genua GmbH, Kirchheim bei München, München, Germany., Arzig C; genua GmbH, Kirchheim bei München, München, Germany., Schweitzer F; Chair of Systems Design, ETH Zurich, Zurich, Switzerland.; Complexity Science Hub, Vienna, Austria., Gote C; Chair of Systems Design, ETH Zurich, Zurich, Switzerland.; Data Analytics Group, Department of Informatics, University of Zurich, Zurich, Switzerland.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Oct 24; Vol. 19 (10), pp. e0306923. Date of Electronic Publication: 2024 Oct 24 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0306923
Abstrakt: The functional interaction structure of a team captures the preferences with which members of different roles interact. This paper presents a data-driven approach to detect the functional interaction structure for software development teams from traces team members leave on development platforms during their daily work. Our approach considers differences in the activity levels of team members and uses a block-constrained configuration model to compute interaction preferences between members of different roles. We apply our approach in a case study to extract the functional interaction structure of a product team at the German IT security company genua GmbH. We validate the accuracy of the detected interaction structure in interviews with five team members. Finally, we show how our approach enables teams to compare their functional interaction structure against synthetically created benchmark scenarios. Specifically, we evaluate the level of knowledge diffusion in the team and identify areas where the team can further improve. Our approach is computationally efficient and can be applied in real-time to manage a team's interaction structure. In summary, our approach provides a novel way to quantify and evaluate the functional interaction structure of software development teams that aids in understanding and improving team performance.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Zingg et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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