@conference {Alonso:2008:EIV:1370750.1370780, title = {Expertise identification and visualization from CVS}, booktitle = {Proceedings of the 2008 international working conference on Mining software repositories}, series = {MSR {\textquoteright}08}, year = {2008}, month = {05/2008}, pages = {125{\textendash}128}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, abstract = {As software evolves over time, the identification of expertise becomes an important problem. Component ownership and team awareness of such ownership are signals of solid project. Ownership and ownership awareness are also issues in open-source software (OSS) projects. Indeed, the membership in OSS projects is dynamic with team members arriving and leaving. In large open source projects, specialists who know the system very well are considered experts. How can one identify the experts in a project by mining a particular repository like the source code? Have they gotten help from other people? We provide an approach using classification of the source code tree as a path to derive the expertise of the committers. Because committers may get help from other people, we also retrieve their contributors. We also provide a visualization that helps to further explore the repository via committers and categories. We present a prototype implementation that describes our research using the Apache HTTP Web server project as a case study.}, keywords = {apache, classification, committers, components, contributors, expertise, expertise identification, repository, scm, source code}, isbn = {978-1-60558-024-1}, doi = {http://doi.acm.org/10.1145/1370750.1370780}, url = {http://doi.acm.org/10.1145/1370750.1370780}, attachments = {https://flosshub.org/sites/flosshub.org/files/p125-alonso.pdf}, author = {Alonso, Omar and Premkumar T. Devanbu and Gertz, Michael} } @conference {Bird:2006:MES:1137983.1138033, title = {Mining email social networks in Postgres}, booktitle = {Proceedings of the 2006 international workshop on Mining software repositories}, series = {MSR {\textquoteright}06}, year = {2006}, pages = {185{\textendash}186}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, 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.}, keywords = {developers, email, email archives, open source, postgresql, scm, social network analysis, social networks, source code, status}, isbn = {1-59593-397-2}, doi = {http://doi.acm.org/10.1145/1137983.1138033}, url = {http://doi.acm.org/10.1145/1137983.1138033}, attachments = {https://flosshub.org/sites/flosshub.org/files/185MiningEmail.pdf}, author = {Christian Bird and Gourley, Alex and Devanbu, Prem and Gertz, Michael and Swaminathan, Anand} }