Mining email social networks in Postgres

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Mining email social networks in Postgres

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International Conference on Software Engineering archive
Proceedings of the 2006 international workshop on Mining software repositories table of contents

Shanghai, China

SESSION: MSR-challenge report table of contents

Pages: 185 - 186

Year of Publication: 2006

ISBN:1-59593-397-2

Authors

Christian Bird	University of California, Davis, Davis, CA
Alex Gourley	University of California, Davis, Davis, CA
Prem Devanbu	University of California, Davis, Davis, CA
Michael Gertz	University of California, Davis, Davis, CA
Anand Swaminathan	University of California, Davis, Davis, CA

Sponsors

ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 10, Downloads (12 Months): 57, Citation Count: 2

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ABSTRACT

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.

CITED BY 2

	Christian Bird , Alex Gourley , Prem Devanbu , Michael Gertz , Anand Swaminathan, Mining email social networks, Proceedings of the 2006 international workshop on Mining software repositories, May 22-23, 2006, Shanghai, China
	Andrew Meneely , Laurie Williams , Will Snipes , Jason Osborne, Predicting failures with developer networks and social network analysis, Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering, November 09-14, 2008, Atlanta, Georgia