CFar: A Tool to Increase Communication, Productivity, and Review Quality in Collaborative Code Review

نویسندگان

  • Austin Z. Henley
  • Maria Christakis
  • Scott D. Fleming
چکیده

Collaborative code review has become an integral part of the collaborative design process in the domain of software development. However, there are well-documented challenges and limitations to collaborative code review—for instance, highquality code reviews may require significant time and effort for the programmers, whereas faster, lower-quality reviews may miss code defects. To address these challenges, we introduce CFar, a novel tool design for extending collaborative code review systems with an automated code reviewer whose feedback is based on program-analysis technologies. To validate this design, we implemented CFar as a production-quality tool and conducted a mixed-method empirical evaluation of the tool usage at Microsoft. Through the field deployment of our tool and a laboratory study of professional programmers using the tool, we produced several key findings showing that CFar enhances communication, productivity, and review quality in human–human collaborative code review. ACM Classification

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تاریخ انتشار 2018