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Title

A code reviewer assignment model incorporating the competence differences and participant preferences

Authors

Year of publication

2016

Published in

Foundations of Computing and Decision Sciences

Journal year: 2016 | Journal volume: vol. 41 | Journal number: no. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • peer code review
  • reviewer assignment problem (RAP)
  • code review assignment model
  • preference matrix
  • subtour-size
Abstract

EN A good assignment of code reviewers can effectively utilize the intellectual resources, assure code quality and improve programmers’ skills in software development. However, little research on reviewer assignment of code review has been found. In this study, a code reviewer assignment model is created based on participants' preference to reviewing assignment. With a constraint of the smallest size of a review group, the model is optimized to maximize review outcomes and avoid the negative impact of "mutual admiration society". This study shows that the reviewer assignment strategies incorporating either the reviewers' preferences or the authors' preferences get much improvement than a random assignment. The strategy incorporating authors' preference makes higher improvement than that incorporating reviewers' preference. However, when the reviewers' and authors' preference matrixes are merged, the improvement becomes moderate. The study indicates that the majority of the participants have a strong wish to work with reviewers and authors having highest competence. If we want to satisfy the preference of both reviewers and authors at the same time, the overall improvement of learning outcomes may be not the best.

Pages (from - to)

77 - 91

DOI

10.1515/fcds-2016-0004

URL

https://www.sciendo.com/article/10.1515/fcds-2016-0004

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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public

Ministry points / journal

15

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