Towards compatible primitive structures
Journal of Experimental & Theoretical Artificial Intelligence - Special issue: conceptual graphs workshop
Proceedings of the 2006 international workshop on Mining software repositories
Predicting failures with developer networks and social network analysis
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
How developer communication frequency relates to bug introducing changes
Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops
Improving developer activity metrics with issue tracking annotations
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics
A stage model of open source activities: an exploratory analysis on open source repository
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
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
Exploring, exposing, and exploiting emails to include human factors in software engineering
Proceedings of the 33rd International Conference on Software Engineering
Mining development repositories to study the impact of collaboration on software systems
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Open Source Software Systems: Understanding Bug Prediction and Software Developer Roles
International Journal of Open Source Software and Processes
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Open Source Software (OSS) projects provide a unique opportunity to gather and analyze publicly available historical data. The Postgres SQL server, for example, has over seven years of recorded development and communication activity. We mined data from both the source code repository and the mailing list archives to examine the relationship between communication and development in Postgres. Along the way, we had to deal with the difficult challenge of resolving email aliases. We used a number of social network analysis measures and statistical techniques to analyze this data. We present our findings in this paper.