@conference {bird2010lee,
	title = {{Linkster: Enabling Efficient Manual Mining}},
	booktitle = {Demonstration Track, Proceedings of the 17th SIGSOFT Symposium on Foundations of Software Engineering},
	year = {2010},
	note = {"LINKSTER efficiently displays, integrates, and allows inspection and annotation of information from three main sources of data: source code repositories, developer mailing lists archives, and bug tracking databases. LINKSTER requires access to a source code repository for file content and a database which contains the raw mined repository, mailing list, and bug tracking information. All notes and annotations made by the user are also recorded in the database."},
	publisher = {ACM},
	organization = {ACM},
	abstract = {While many uses of mined software engineering data are automatic in nature, some techniques and studies either require, or can be improved, by manual methods. Unfortunately, manually inspecting, analyzing, and annotating mined data can be difficult and tedious, especially when information from multiple sources must be integrated. Oddly, while there are numerous tools and frameworks for automatically mining and analyzing data, there is a dearth of tools which facilitate manual methods. To fill this void, we have developed LINKSTER, a tool which integrates data from bug databases, source code repositories, and mailing list archives to allow manual inspection and annotation. LINKSTER has already been used successfully by an OSS project lead to obtain data for one empirical study.},
	keywords = {artifacts, bug, bug tracking, data mining, email, mailing lists, open source, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/bird2010lee.pdf},
	author = {Christian Bird and Adrian Bachman and Rahman, Foyzur and Bernstein, Abraham}
}
@conference {Bird:2006:MES:1137983.1138016,
	title = {Mining email social networks},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {137{\textendash}143},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Communication \& Co-ordination activities are central to large software projects, but are difficult to observe and study in traditional (closed-source, commercial) settings because of the prevalence of informal, direct communication modes. OSS projects, on the other hand, use the internet as the communication medium,and typically conduct discussions in an open, public manner. As a result, the email archives of OSS projects provide a useful trace of the communication and co-ordination activities of the participants. However, there are various challenges that must be addressed before this data can be effectively mined. Once this is done, we can construct social networks of email correspondents, and begin to address some interesting questions. These include questions relating to participation in the email; the social status of different types of OSS participants; the relationship of email activity and commit activity (in the CVS repositories) and the relationship of social status with commit activity. In this paper, we begin with a discussion of our infrastructure (including a novel use of Scientific Workflow software) and then discuss our approach to mining the email archives; and finally we present some preliminary results from our data analysis.},
	keywords = {communication, contributions, developers, email, email archives, mailing lists, open source, social networks},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138016},
	url = {http://doi.acm.org/10.1145/1137983.1138016},
	attachments = {https://flosshub.org/sites/flosshub.org/files/137MiningEmail.pdf},
	author = {Christian Bird and Gourley, Alex and Devanbu, Prem and Gertz, Michael and Swaminathan, Anand}
}
@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}
}
