Open source software peer review practices: a case study of the apache server
Proceedings of the 30th international conference on Software engineering
Deep intellisense: a tool for rehydrating evaporated information
Proceedings of the 2008 international working conference on Mining software repositories
What do large commits tell us?: a taxonomical study of large commits
Proceedings of the 2008 international working conference on Mining software repositories
Design and code inspections to reduce errors in program development
IBM Systems Journal
Convergent contemporary software peer review practices
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
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Over the past decade, a number of tools and systems have been developed to manage various aspects of the software development lifecycle. Until now, tool supported code review, an important aspect of software development, has been largely ignored. With the advent of open source code review tools such as Gerrit along with projects that use them, code review data is now available for collection, analysis, and triangulation with other software development data. In this paper, we extract Android peer review data from Gerrit. We describe the Android peer review process, the reverse engineering of the Gerrit JSON API, our data mining and cleaning methodology, database schema, and provide an example of how the data can be used to answer an empirical software engineering question. The database is available for use by the research community.