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Consistent or Sensitive? Automated Code Revision Tools Against Semantics-Preserving Perturbations

Year: 2026

Type: conference-paper

Abstract: Automated Code Revision (ACR) tools aim to reduce manual effort by automatically generating code revisions based on reviewer feedback. While ACR tools have shown promising performance on historical data, their real-world utility depends on their ability to handle similar code variants expressing the same issue—a property we define as consistency. However, the probabilistic nature of ACR tools often compromises consistency, which may lead to divergent revisions even for semantically equivalent code variants.

Source: International Conference on Mining Software Repositories (MSR)

DOI: 10.1145/3793302.3793363

Authors: Shirin Pirouzkhah, Souhaila Serbout, Alberto Bacchelli

Institution: University of Zurich

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: Enhanced Code Review: Using Context and Learning from Review Experience, Software Engineers as Quality Experts

OpenAlex ID: W7129464276

FWCI: 11.87

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Cited by: 1

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