Modern code reviews -- Preliminary results of a systematic mapping study
Deepika Badampudi, Ricardo Britto, Michael Unterkalmsteiner
TL;DR
This paper presents a systematic mapping of 177 research papers on modern code reviews from 2005 to 2018, highlighting research trends, gaps, and classifications to guide future studies.
Contribution
It provides the first comprehensive classification scheme of modern code review research contributions over a 13-year period.
Findings
Classification scheme of research contributions
Identification of research gaps
Evolution trends of code review research
Abstract
Reviewing source code is a common practice in a modern and collaborative coding environment. In the past few years, the research on modern code reviews has gained interest among practitioners and researchers. The objective of our investigation is to observe the evolution of research related to modern code reviews, identify research gaps and serve as a basis for future research. We use a systematic mapping approach to identify and classify 177 research papers. As preliminary result of our investigation, we present in this paper a classification scheme of the main contributions of modern code review research between 2005 and 2018.
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