Determining the Intrinsic Structure of Public Software Development History
MSR - Registered Reports
Background. Collaborative software development has produced a wealth of version control system (VCS) data that can now be analyzed in full. Little is known about the intrinsic structure of the entire corpus of publicly available VCS as an interconnected graph. Understanding its structure is needed to determine the best approach to analyze it in full and to avoid methodological pitfalls when doing so.
Objective. We intend to determine the most salient network topology properties of public software development history as captured by VCS. We will explore: degree distributions, determining whether they are scale-free or not; distribution of connect component sizes; distribution of shortest path lengths.
Method. We will use Software Heritageï¿½which is the largest corpus of public VCS dataï¿½compress it using webgraph compression techniques, and analyze it in-memory using classic graph algorithms. Analyses will be performed both on the full graph and on relevant subgraphs.
Limitations. The study is exploratory in nature; as such no hypotheses on the findings is stated at this time. Chosen graph algorithms are expected to scale to the corpus size, but it will need to be confirmed experimentally. External validity will depend on how representative Software Heritage is of the software commons.
Mon 29 Jun Times are displayed in time zone: (UTC) Coordinated Universal Time change
16:30 - 17:00: Platforms & DatasetsTechnical Papers / Registered Reports / Keynote / MSR Awards / FOSS Award / Education / Data Showcase / Mining Challenge / MSR Challenge Proposals / Ask Me Anything at MSR:Zoom2
Chair(s): Moritz BellerFacebook, USA
Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack)
|16:30 - 16:37|
RTPTorrent: An Open-source Dataset for Evaluating Regression Test PrioritizationMSR - Technical Paper
Toni MattisHasso Plattner Institute, University of Potsdam, Patrick ReinHasso Plattner Institute, Falco Dürsch, Robert HirschfeldHasso-Plattner-Institut (HPI), GermanyDOI Pre-print Media Attached
|16:37 - 16:45|
Konstantinos Barmpis , Patrick NeubauerUniversity of York, UK, Jonathan Co, Dimitris KolovosUniversity of York, Nicholas Matragkas, Richard PaigeMcMaster UniversityMedia Attached
|16:45 - 16:52|
Technical PapersPre-print Media Attached
|16:52 - 17:00|
A: Antoine PietriInria, A: Guillaume RousseauUniversité de Paris and Inria, A: Stefano ZacchiroliUniversité de Paris and InriaPre-print Media Attached