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The Impact of Large Language Models (LLMs) on Code Review Process

https://doi.org/10.2139/ssrn.5749004
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2016.1952openalex-snapshot
Evolution of Reporting P Values in the Biomedical Literature, 1990-2015
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An Introduction to Statistical Learning
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Recommending pull request reviewers based on code changes
inferredcites →https://doi.org/10.1007/s10664-015-9366-8openalex-snapshot
Investigating technical and non-technical factors influencing modern code review
inferredcites →https://doi.org/10.1016/j.jss.2018.09.016openalex-snapshot
What’s in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform
inferredcites →https://doi.org/10.1016/j.jss.2021.110951openalex-snapshot
A systematic literature review and taxonomy of modern code review
inferredcites →https://doi.org/10.1098/rsif.2017.0213openalex-snapshot
The coefficient of determination R 2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded
inferredcites →https://doi.org/10.1109/ms.2023.3265877openalex-snapshot
Generative AI for Software Practitioners
inferredcites →https://doi.org/10.1109/tse.2022.3165056openalex-snapshot
Pull Request Decisions Explained: An Empirical Overview
inferredcites →https://doi.org/10.1145/2568225.2568260openalex-snapshot
An exploratory study of the pull-based software development model
inferredcites →https://doi.org/10.1145/3196398.3196421openalex-snapshot
Studying the impact of adopting continuous integration on the delivery time of pull requests
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Measuring Unique Changes
inferredcites →https://doi.org/10.1145/3524842.3528432openalex-snapshot
Mining code review data to understand waiting times between acceptance and merging
inferredcites →https://doi.org/10.1145/3530785openalex-snapshot
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests–A Mixed-Methods Study of 10 Large Open-Source Projects
inferredcites →https://doi.org/10.1145/3643773openalex-snapshot
Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions
inferredcites →https://doi.org/10.1145/3643991.3645083openalex-snapshot
Investigating the Utility of ChatGPT in the Issue Tracking System: An Exploratory Study
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10515-026-00638-5openalex-snapshot
Are LLMs reliable code reviewers? systematic overcorrection in requirement conformance judgement
inferred← citeshttps://doi.org/10.1007/s10791-026-10331-6openalex-snapshot
Hybrid intelligence effort for software effort estimation in LLM assisted development
inferred← citeshttps://doi.org/10.1109/iit.src67760.2026.11628991openalex-snapshot
Comparing Local and Cloud AI Models for Intelligent Assistance in Web Development Environments
inferred← citeshttps://doi.org/10.1145/3774748.3787745openalex-snapshot
Behavior-Driven Development Meets LLMs: Do We Need Them, and Do They Work?
inferred← citeshttps://doi.org/10.1145/3797092openalex-snapshot
From Specifications to Implementation in the Gen-AI Era: Lessons from a Project-Based Software Engineering Course
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