Mining the modern code review repositories
Xin Yang, Raula Gaikovina Kula, Norihiro Yoshida, Hajimu Iida · 2016
In this paper, we present a collection of Modern Code Review data for five open source projects. The data showcases mined data from both an integrated peer review system and source code repositories. We present an easy-to-use and richer data structure to retrieve the (a) People, (b) Process, and (c) Product aspects of the peer review. This paper presents the extraction methodology, the dataset structure, and a collection of database dumps.