MSR 2020
Mon 29 - Tue 30 June 2020
co-located with ICSE 2020
Mon 29 Jun 2020 11:00 - 11:12 at MSR:Zoom - Build, CI, & Dependencies Chair(s): Raula Gaikovina Kula

Docker containers have become the de-facto industry standard.Docker builds often break, and a large amount of efforts are put into troubleshooting broken builds. Prior studies have evaluated the rate at which builds in large organizations fail. However, little is known about the frequency and fix effort of failures that occur in Docker builds of open-source projects. This paper provides a first attempt to present a preliminary study on 857,086 Docker builds from 3,828 open-source projects hosted on GitHub. Using the Docker builds data, we measure the frequency of broken builds and report their fix time. Furthermore, we explore the evolution of Docker build failures across time. Our findings help to characterize and understand Docker build failures and motivate the need for collecting more empirical evidence.

Mon 29 Jun

Displayed 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
12m
Live 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
12m
Live 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
12m
Live 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
12m
Live 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
12m
Live 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