@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 {969,
	title = {Validity of network analyses in Open Source Projects},
	booktitle = {2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)},
	year = {2010},
	note = {"We have mined archival records of developer mailing lists to generate reply-to social networks for the three OSS projects: Apache, MySQL, and Perl."

"For each of these projects, we construct an information flow network based on messages that are sent as replies to previous messages....We use this methodology on all mined data to create a network of mailing list participants. "},
	pages = {201 - 209},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cape Town, South Africa},
	abstract = {Social network methods are frequently used to analyze networks derived from Open Source Project communication and collaboration data. Such studies typically discover patterns in the information flow between contributors or contributions in these projects. Social network metrics have also been used to predict defect occurrence. However, such studies often ignore or side-step the issue of whether (and in what way) the metrics and networks of study are influenced by inadequate or missing data. In previous studies email archives of OSS projects have provided a useful trace of the communication and co-ordination activities of the participants. These traces have been used to construct social networks that are then subject to various types of analysis. However, during the construction of these networks, some assumptions are made, that may not always hold; this leads to incomplete, and sometimes incorrect networks. The question then becomes, do these errors affect the validity of the ensuing analysis? In this paper we specifically examine the stability of network metrics in the presence of inadequate and missing data. The issues that we study are: 1) the effect of paths with broken information flow (i.e. consecutive edges which are out of temporal order) on measures of centrality of nodes in the network, and 2) the effect of missing links on such measures. We demonstrate on three different OSS projects that while these issues do change network topology, the metrics used in the analysis are stable with respect to such changes.},
	keywords = {apache, email archives, mailing lists, missing data, mysql, perl, social networks},
	isbn = {978-1-4244-6802-7},
	doi = {10.1109/MSR.2010.5463342},
	attachments = {https://flosshub.org/sites/flosshub.org/files/201NetworkAnalysis.pdf},
	author = {Nia, Roozbeh and Christian Bird and Devanbu, Premkumar and Filkov, Vladimir}
}
@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}
}
