Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild

This is the replication package for the following paper: "Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild"

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-01
DOI
https://doi.org/10.5281/zenodo.21095394
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
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article

Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild

Mingzhao Liang, Patanamon Thongtanunam, Hong Yi Lin, Chakkrit Tantithamthavorn
Zenodo (CERN European Organization for Nuclear Research)
Software Engineering Research
article

Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild

Mingzhao Liang, Patanamon Thongtanunam, Hong Yi Lin, Chakkrit Tantithamthavorn
article en

Abstract

This is the replication package for the following paper: "Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild"

Zenodo (CERN European Organization for Nuclear Research)
The University of Melbourne (AU), Australian Regenerative Medicine Institute (AU), Monash University (AU)
Openalex Percentile: Top 3%
Software Engineering Research
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