A Review of Peer Code Review in Higher Education

• Published in: ACM transactions on computing education Vol. 20; no. 3
• Main Authors: Indriasari, Theresia Devi, Luxton-Reilly, Andrew, Denny, Paul
• Format: Journal Article
• Language: English
• Published: Association for Computing Machinery 01.09.2020
• Subjects: Computer Science Education; Higher Education; Literature Reviews; Peer Evaluation; Programming
• ISSN: 1946-6226; 1946-6226
• DOI: 10.1145/3403935

Peer review is the standard process within academia for maintaining publication quality, but it is also widely employed in other settings, such as education and industry, for improving work quality and for generating actionable feedback to content authors. For example, in the software industry peer review of program source code--or peer code review--is a key technique for detecting bugs and maintaining coding standards. In a programming education context, although peer code review offers potential benefits to both code reviewers and code authors, individuals are typically less experienced, which presents a number of challenges. Some of these challenges are similar to those reported in the educational literature on peer review in other academic disciplines, but reviewing code presents unique difficulties. Better understanding these challenges and the conditions under which code review can be taught and implemented successfully in computer science courses is of value to the computing education community. In this work, we conduct a systematic review of the literature on peer code review in higher education to examine instructor motivations for conducting peer code review activities, how such activities have been implemented in practice, and the primary benefits and difficulties that have been reported. We initially identified 187 potential studies and analyzed 51 empirical studies pertinent to our goals. We report the most commonly cited benefits (e.g., the development of programming-related skills) and barriers (e.g., low student engagement), and we identify a wide variety of tools that have been used to facilitate the peer code review process. While we argue that more empirical work is needed to validate currently reported results related to learning outcomes, there is also a clear need to address the challenges around student motivation, which we believe could be an important avenue for future research.