MSR 2020
Mon 29 - Tue 30 June 2020
co-located with ICSE 2020
Mon 29 Jun 2020 11:24 - 11:36 at MSR:Zoom - Build, CI, & Dependencies Chair(s): Raula Gaikovina Kula

Dockerfiles are one of the most prevalent kinds of DevOps artifacts used in industry. Despite their prevalence, there is a lack of sophisticated semantics-aware static analysis of Dockerfiles. In this paper, we introduce a dataset of approximately 178,000 unique Dockerfiles collected from GitHub. To enhance the usability of this data, we describe five representations we have devised for working with, mining from, and analyzing these Dockerfiles. Each Dockerfile representation builds upon the previous ones, and the final representation, created by three levels of nested parsing and abstraction, makes tasks such as mining and static checking tractable. The Dockerfiles, in each of the five representations, along with metadata and the tools used to shepard the data from one representation to the next are all available at: https://doi.org/10.5281/zenodo.3628771.

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 Técnico, 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