Please use this identifier to cite or link to this item:
Title: Will it pass? Predicting the outcome of a source code review
Authors: Gerede, Çağdaş Evren
Mazan, Zeki
Keywords: Mining software repositories
Revision prediction
Source code review
Issue Date: 30-May-2018
Publisher: Turkiye Klinikleri Journal of Medical Sciences
Source: GEREDE, Ç. E., & Mazan, Z. (2018). Will it pass? Predicting the outcome of a source code review. Turkish Journal of Electrical Engineering & Computer Sciences, 26(3), 1343-1353.
Abstract: It has been observed that allowing source code changes to be made only after source code reviews has a positive impact on the quality and lifetime of the resulting software. In some cases, code review processes take quite a long time and this negatively affects software development costs and employee job satisfaction. Establishing mechanisms that predict what kind of feedback reviewers will provide and what revisions they will ask for can reduce the number of times this problem occurs. Thanks to such mechanisms, developers can improve the maturity of their code change requests before the review process starts. In this way, when they start the review, the process may advance quickly and more smoothly. In this study, as a first step towards this goal, we developed a mechanism to identify whether a change proposal would require any revisions or not for approval.
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 23, 2022


checked on Sep 24, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.