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Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Do Explicit Review Strategies Improve Code Review Performance?
Organization Unit
Authors
  • Pavlína Wurzel Gonçalves
  • Enrico Fregnan
  • Tobias Baum
  • Kurt Schneider
  • Alberto Bacchelli
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 9781450375177
Page Range 606 - 610
Event Title MSR '20: 17th International Conference on Mining Software Repositories
Event Type conference
Event Location Seoul Republic of Korea
Event Start Date July 29 - 2020
Event End Date July 30 - 2020
Place of Publication New York, NY, USA
Publisher ACM
Abstract Text Context: Code review is a fundamental, yet expensive part of software engineering. Therefore, research on understanding code review and its efficiency and performance is paramount. Objective: We aim to test the effect of a guidance approach on review effectiveness and efficiency. This effect is expected to work by lowering the cognitive load of the task; thus, we analyze the mediation relationship as well. Method: To investigate this effect, we employ an experimental design where professional developers have to perform three code reviews. We use three conditions: no guidance, a checklist, and a checklist-based review strategy. Furthermore, we measure the reviewers' cognitive load. Limitations: The main limitations of this study concern the specific cohort of participants, the mono-operation bias for the guidance conditions, and the generalizability to other changes and defects. Full registered report: https://doi.org/10.17605/OSF.IO/5FPTJ; Materials: https://doi.org/10.6084/m9.figshare.11806656
Free access at DOI
Digital Object Identifier 10.1145/3379597.3387509
Other Identification Number merlin-id:21597
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Funders SNF project No. PP00P2_170529