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Software teams that use modern code reviewing tools like Gerrit are quickly accumulating data about their code reviewing processes. In our research, we mine this code review data, connecting it with data from other software repositories (e.g., version control, bug trackers) to produce rich datasets. We then analyze these datasets to study the impact that code reviewing has on: (a) software release quality (approximated using occurrences of post-release bugs) and (b) software design quality (approximated using occurrences of design anti-patterns). In this talk, I will describe our approach to Gerrit mining code review data and the results of some of our recent empirical studies of the code reviewing processes of large open source systems, such as Qt and OpenStack.
Shane McIntosh, McGill University
GerritHub launched 2 years ago, bringing Gerrit to GitHub repositories. Learn more about how this is going.
Luca Milanesio, GerritForge
Most enterprises already have a single sign-on solution. And Gerrit doesn't support SAML out of the box.
Nadav S Samet, TrueAccord
What does it take to get geographically distributed Gerrit masters?
Patrick Renaud, Ericsson
Packaging and Docker-ization for faster enterprise deployment.
Luca Milanesio, GerritForge
More coming soon!
