Understanding the KDE Social Structure through Mining of Email Archive
Title | Understanding the KDE Social Structure through Mining of Email Archive |
Publication Type | Conference Paper |
Year of Publication | 2007 |
Authors | Studer, M, Müller, B, Ritschard, G |
Secondary Title | 2nd Workshop on Public Data about Software Development (WoPDaSD 2007) |
Keywords | bug tracking system, bugzilla, commit, email, email archive, kde, mailing list, participation, revision control, social network analysis |
Abstract | In order to achieve a better understanding of FLOSS social structure, we need a definition of social position. From a theoretical perspective, we propose to think the participation as a trajectory. Empirically, we use optimal matching to build a typology of participation trajectories based on KDE email archives. We show how these trajectories structure the community as a whole by combining these results with a social network analysis. |
Notes | "Our data source is constituted by e-mails sent to KDE mailing-lists and archived by MARC" "Two problems quickly arise: neither the e-mails addresses nor the names can be considered unique. Consequently, we used an in-depth search algorithm to put together “name-email” couples corresponding to a same contributor. Indeed, the algorithm suggests possible merges." "There is a specific mailing list in our data set, kde-commit, which gathers automatic notifications from the revision control system (RCS)....We measure “commit” by the number of messages sent to the “kde-commit” mailing list. However, we did not count “silent” commits, nor usual messages sent to this mailing list." "We measured activities done in BTS in two ways: “bug opener” and “non bug opener”. First, we counted the number of modifications done by the contributor who opened the concerned bug report. " |
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wopdasd_studer_et_all_full.pdf | 254.67 KB |
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