Classifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics
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Abstract (arXiv)
Knowledge about the roles developers play in a software project is crucial to understanding the project's collaborative dynamics. Developers are often classified according to the dichotomy of core and peripheral roles. Typically, operationalizations based on simple counts of developer activities (e.g., number of commits) are used for this purpose, but there is concern regarding their validity and ability to elicit meaningful insights. To shed light on this issue, we investigate whether commonly used operationalizations of core--peripheral roles produce consistent results, and we validate them with respect to developers' perceptions by surveying 166 developers. Improving over the state of the art, we propose a relational perspective on developer roles, using developer networks to model the organizational structure, and by examining core--peripheral roles in terms of developers' positions and stability within the organizational structure. In a study of 10 substantial open-source projects, we found that the existing and our proposed core--peripheral operationalizations are largely consistent and valid. Furthermore, we demonstrate that a relational perspective can reveal further meaningful insights, such as that core developers exhibit high positional stability, upper positions in the hierarchy, and high levels of coordination with other core developers.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Apr 2016.
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Citing papers per year: 2024: 1; 2025: 0; 2026: 2.
3 papers.
- 2026When Agents Coordinate: Measuring Coordination in Multi-Agent AI Codingcited by 3
- 2024Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Developmentcited by 2
- 2026Predicting Open Source Software Sustainability with Deep Temporal Neural Hierarchical Architectures and Explainable AIcited by 0
- 2026When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding17 Aug 2026
- 2026Predicting Open Source Software Sustainability with Deep Temporal Neural Hierarchical Architectures and Explainable AI9 Feb 2026
- 2024Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development16 Nov 2024