The Community for Technology Leaders
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE) (2015)
Florence, Italy
May 16, 2015 to May 24, 2015
ISBN: 978-1-4799-1934-5
pp: 563-573
ABSTRACT
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.
INDEX TERMS
Collaboration, Open source software, Measurement, Computer languages, Standards, Software systems
CITATION
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
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