2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE) (2015)
May 16, 2015 to May 24, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSE.2015.73
Effective software engineering demands a coordinated effort. Unfortunately, a comprehensive view on developer coordination is rarely available to support software-engineering decisions, despite the significant implications on software quality, software architecture, and developer productivity. We present a fine-grained, verifiable, and fully automated approach to capture a view on developer coordination, based on commit information and source-code structure, mined from version-control systems. We apply methodology from network analysis and machine learning to identify developer communities automatically. Compared to previous work, our approach is fine-grained, and identifies statistically significant communities using order-statistics and a community-verification technique based on graph conductance. To demonstrate the scalability and generality of our approach, we analyze ten open-source projects with complex and active histories, written in various programming languages. By surveying 53 open-source developers from the ten projects, we validate the authenticity of inferred community structure with respect to reality. Our results indicate that developers of open-source projects form statistically significant community structures and this particular view on collaboration largely coincides with developers' perceptions of real-world collaboration.
Collaboration, Open source software, Measurement, Computer languages, Standards, Software systems,
Mitchell Joblin, Wolfgang Mauerer, Sven Apel, Janet Siegmund, Dirk Riehle, "From Developer Networks to Verified Communities: A Fine-Grained Approach", 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE), vol. 01, no. , pp. 563-573, 2015, doi:10.1109/ICSE.2015.73