Work

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

Year: 2025

Type: conference-paper

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.

DOI: 10.1145/3696630.3728505

Authors: Lo Heander, Emma Söderberg, Christofer Rydenfält

Institution: Lund University

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Stiftelsen för Strategisk Forskning, Knut och Alice Wallenbergs Stiftelse

OpenAlex ID: W4412703880

FWCI: 4.709

Cites: 25

Cited by: 4

Related to: 10