LogChunks: A Data Set for Build Log AnalysisMSR - Data Showcase
Build logs are textual by-products that a software build process creates, often as part of its Continuous Integration (CI) pipeline. Build logs are a paramount source of information for developers when debugging into and understanding a build failure. Recently, attempts to partly automate this time-consuming, purely manual activity have come up, such as rule- or information-retrieval-based techniques. We believe that having a common dataset to be able to fairly compare different build log analysis techniques will advance the research area. The width and depth of the LogChunks data set are intended to make it the default benchmark for automated build log analysis techniques. It will ultimately increase our understanding of CI build failures. In this paper, we present LogChunks, a collection of 797 annotated Travis CI build logs from 80 GitHub repositories in 29 programming languages. For each build log, LogChunks contains a manually labeled log part (chunk) describing why the build failed. We externally validated the data set with the developers who caused the original build failure.
Mon 29 JunDisplayed time zone: (UTC) Coordinated Universal Time change
11:00 - 12:00 | Build, CI, & DependenciesTechnical Papers / Registered Reports / Keynote / MSR Awards / FOSS Award / Education / Data Showcase / Mining Challenge / MSR Challenge Proposals / Ask Me Anything at MSR:Zoom Chair(s): Raula Gaikovina Kula NAIST Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack) | ||
11:00 12mLive Q&A | A Tale of Docker Build Failures: A Preliminary StudyMSR - Technical Paper Technical Papers Yiwen Wu National University of Defense Technology, Yang Zhang National University of Defense Technology, China, Tao Wang National University of Defense Technology, Huaimin Wang Pre-print Media Attached | ||
11:12 12mLive Q&A | Using Others' Tests to Avoid Breaking UpdatesMSR - Technical Paper Technical Papers Suhaib Mujahid Concordia University, Rabe Abdalkareem Concordia University, Montreal, Canada, Emad Shihab Concordia University, Shane McIntosh McGill University Pre-print Media Attached | ||
11:24 12mLive Q&A | A Dataset of DockerfilesMSR - Data Showcase Data Showcase A: Jordan Henkel University of Wisconsin–Madison, A: Christian Bird Microsoft Research, A: Shuvendu K. Lahiri Microsoft Research, A: Thomas Reps University of Wisconsin-Madison, USA Media Attached | ||
11:36 12mLive Q&A | Empirical Study of Restarted and Flaky Builds on Travis CIMSR - Technical Paper Technical Papers Thomas Durieux KTH Royal Institute of Technology, Sweden, Claire Le Goues Carnegie Mellon University, Michael Hilton Carnegie Mellon University, USA, Rui Abreu Instituto Superior TĂ©cnico, U. Lisboa & INESC-ID DOI Pre-print Media Attached | ||
11:48 12mLive Q&A | LogChunks: A Data Set for Build Log AnalysisMSR - Data Showcase Data Showcase A: Carolin Brandt Delft University of Technology, A: Annibale Panichella Delft University of Technology, A: Andy Zaidman TU Delft, A: Moritz Beller Facebook, USA Pre-print Media Attached | ||