Modern code reviews -- Preliminary results of a systematic mapping study

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.

arXiv commentEASE 2019: 340-345

References in corpus (2)

• CORRECT: Code Reviewer Recommendation in GitHub Based on Cross-Project and Technology Experience
• Topic-based Integrator Matching for Pull Request

Cited by in corpus (4)

• A Systematic Literature Review and Taxonomy of Modern Code Review
• Modern Code Reviews -- Survey of Literature and Practice
• Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis
• Can We Benchmark Code Review Studies? A Systematic Mapping Study of Methodology, Dataset, and Metric