The Cathedral and the Bazaar
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Mining email social networks in Postgres
Proceedings of the 2006 international workshop on Mining software repositories
The influence of organizational structure on software quality: an empirical case study
Proceedings of the 30th international conference on Software engineering
Can developer-module networks predict failures?
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Predicting failures with developer networks and social network analysis
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Latent social structure in open source projects
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Tesseract: Interactive visual exploration of socio-technical relationships in software development
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Secure open source collaboration: an empirical study of linus' law
Proceedings of the 16th ACM conference on Computer and communications security
Proceedings of the 4th India Software Engineering Conference
Socio-technical developer networks: should we trust our measurements?
Proceedings of the 33rd International Conference on Software Engineering
Evolution of developer social network and its impact on bug fixing process
Proceedings of the 6th India Software Engineering Conference
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Understanding and measuring how groups of developers collaborate on software projects can provide valuable insight into software quality and the software development process. Current practices of measuring developer collaboration (e.g. with social network analysis) usually employ metrics based on version control change log data to determine who is working on which part of the system. Version control change logs, however, do not tell the whole story. Information about the collaborative problem-solving process is also documented in the issue tracking systems that record solutions to failures, feature requests, or other development tasks. To enrich the data gained from version control change logs, we propose two annotations to be used in issue tracking systems: solution originator and solution approver. We examined the online discussions of 602 issues from the OpenMRS healthcare web application, annotating which developers were the originators of the solution to the issue, or were the approvers of the solution. We used these annotations to augment the version control change logs and found 47 more contributors to the OpenMRS project than the original 40 found in the version control change logs. Applying social network analysis to the data, we found that central developers in a developer network have a high likelihood of being approvers. These results indicate that using our two issue tracking annotations identify project collaborators that version control change logs miss. However, in the absence of our annotations, developer network centrality can be used as an estimate of the project's solution approvers. This improvement in developer activity metrics provides a valuable connection between what we can measure in the project development artifacts and the team's problem-solving process.