TravisTorrent

Synthesizing Travis CI and GitHub for Full-Stack Research on Continuous Integration

Conference Paper (2017)
Author(s)

Moritz Beller (TU Delft - Software Engineering)

G. Gousios (TU Delft - Software Engineering)

Andy Zaidman (TU Delft - Software Engineering)

Research Group
Software Engineering
Copyright
© 2017 M.M. Beller, G. Gousios, A.E. Zaidman
DOI related publication
https://doi.org/10.1109/MSR.2017.24
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 M.M. Beller, G. Gousios, A.E. Zaidman
Research Group
Software Engineering
Pages (from-to)
447--450
ISBN (electronic)
978-1-5386-1544-7
Reuse Rights

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Abstract

Continuous Integration (CI) has become a best practice of modern software development. Thanks in part to its tight integration with GitHub, Travis CI has emerged as arguably the most widely used CI platform for Open-Source Software (OSS) development. However, despite its prominent role in Software Engineering in practice, the benefits, costs, and implications of doing CI are all but clear from an academic standpoint. Little research has been done, and even less was of quantitative nature. In order to lay the groundwork for data-driven research on CI, we built TravisTorrent, travistorrent.testroots.org, a freely available data set based on Travis CI and GitHub that provides easy access to hundreds of thousands of analyzed builds from more than 1,000 projects. Unique to TravisTorrent is that each of its 2,640,825 Travis builds is synthesized with meta data from Travis CI's API, the results of analyzing its textual build log, a link to the GitHub commit which triggered the build, and dynamically aggregated project data from the time of commit extracted through GHTorrent.

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