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:

Mon 29 Jun
Times are displayed in time zone: (UTC) Coordinated Universal Time change

11:00 - 12:00: Technical Papers - Build, CI, & Dependencies at MSR:Zoom
Chair(s): Raula Gaikovina KulaNAIST

Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack)

msr-2020-papers11:00 - 11:12
Live Q&A
Yiwen WuNational University of Defense Technology, Yang ZhangNational University of Defense Technology, China, Tao WangNational University of Defense Technology, Huaimin Wang
Pre-print Media Attached
msr-2020-papers11:12 - 11:24
Live Q&A
Suhaib MujahidConcordia University, Rabe AbdalkareemConcordia University, Montreal, Canada, Emad ShihabConcordia University, Shane McIntoshMcGill University
Pre-print Media Attached
msr-2020-Data-showcase11:24 - 11:36
Live Q&A
Jordan HenkelUniversity of Wisconsin–Madison, Christian Bird, Shuvendu K. LahiriMicrosoft Research, Thomas RepsUniversity of Wisconsin-Madison, USA
Media Attached
msr-2020-papers11:36 - 11:48
Live Q&A
Thomas DurieuxKTH Royal Institute of Technology, Sweden, Claire Le GouesCarnegie Mellon University, Michael HiltonCarnegie Mellon University, USA, Rui AbreuInstituto Superior Técnico, U. Lisboa & INESC-ID
DOI Pre-print Media Attached
msr-2020-Data-showcase11:48 - 12:00
Live Q&A
Carolin BrandtDelft University of Technology, Annibale PanichellaDelft University of Technology, Andy ZaidmanTU Delft, Moritz BellerDelft University of Technology
Pre-print Media Attached