Support, Not Automation: Towards AI-supported Code Review For Code Quality and Beyond

Code review is a well-established and valuable software development practice associated with code quality, interpersonal, and team benefits. However, it is also time-consuming, with developers spending 10–20% of their working time doing code reviews. With recent advances in AI capabilities, there are more and more initiatives aimed at fully automating code reviews to save time and streamline software developer workflows.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3728505
Citations
1
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
3.25

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article

Support, Not Automation: Towards AI-supported Code Review For Code Quality and Beyond

Emma Söderberg, Christofer Rydenfält, Lo Heander
1 citations
Software Engineering Research
3.25
article

Support, Not Automation: Towards AI-supported Code Review For Code Quality and Beyond

Emma Söderberg, Christofer Rydenfält, Lo Heander
article en
1 citations

Abstract

Code review is a well-established and valuable software development practice associated with code quality, interpersonal, and team benefits. However, it is also time-consuming, with developers spending 10–20% of their working time doing code reviews. With recent advances in AI capabilities, there are more and more initiatives aimed at fully automating code reviews to save time and streamline software developer workflows.

Lund University (SE)
Stiftelsen för Strategisk Forskning, Knut och Alice Wallenbergs Stiftelse
Openalex Percentile: Top 7%
Software Engineering Research
3.25
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