Detecting Bugs in Rust Compiler Fix Suggestions via Constraint-Violation-Guided Mutation

Rust is a modern systems programming language that ensures memory safety through unique mechanisms, including ownership, borrowing, and lifetime annotations. These features prevent critical vulnerabilities but also impose strict constraints that many developers find difficult to understand. To mitigate this challenge, the Rust compiler, rustc, provides rich diagnostics and fix suggestions. However, recent studies reveal that diagnostic issues account for about 20% of all reported rustc bugs. Our analysis of rustc's suggestion bugs fixed over the past three years shows that most of them originated from errors in Rust-specific core modules, such as the type checker and borrow checker, rather than from simple mistakes in the general diagnostic logic, like suggesting an incorrect variable name or mismatched parentheses. The impact of diagnostic issues, especially bugs in rustc's fix suggestion, should not be underestimated, as they can mislead developers and reduce rustc's usability, and in severe cases may even lead to rustc crashes. Existing testing tools, however, provide little support for systematically evaluating the correctness and reliability of these suggestions. To address this gap, in this paper, we present SugBreaker, an automated testing framework specifically designed to validate rustc's suggestions. We propose a constraint-violation-guided mutation approach that injects type-related, borrow-related, and lifetime-related errors into valid Rust programs to trigger compiler diagnostics and iteratively verify the correctness of suggested fixes. SugBreaker has already detected 12 bugs, and 11 of them have been confirmed or fixed; all of them are triggered by different rustc error messages.Compared with a series of rustc testing baseline tools, SugBreaker achieves broader coverage of rustc's core checking modules and a higher suggestion trigger rate, which further confirms the effectiveness and efficiency of SugBreaker for testing rustc's fix suggestions.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on software engineering.
Published
2026-06-30
DOI
https://doi.org/10.1145/3797128
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detecting Bugs in Rust Compiler Fix Suggestions via Constraint-Violation-Guided Mutation

Yang Feng, Baowen Xu, Zixi Liu, Jialiang Jiang
Proceedings of the ACM on software engineering.
Software Testing and Debugging Techniques
article

Detecting Bugs in Rust Compiler Fix Suggestions via Constraint-Violation-Guided Mutation

Yang Feng, Baowen Xu, Zixi Liu, Jialiang Jiang
article en

Abstract

Rust is a modern systems programming language that ensures memory safety through unique mechanisms, including ownership, borrowing, and lifetime annotations. These features prevent critical vulnerabilities but also impose strict constraints that many developers find difficult to understand. To mitigate this challenge, the Rust compiler, rustc, provides rich diagnostics and fix suggestions. However, recent studies reveal that diagnostic issues account for about 20% of all reported rustc bugs. Our analysis of rustc's suggestion bugs fixed over the past three years shows that most of them originated from errors in Rust-specific core modules, such as the type checker and borrow checker, rather than from simple mistakes in the general diagnostic logic, like suggesting an incorrect variable name or mismatched parentheses. The impact of diagnostic issues, especially bugs in rustc's fix suggestion, should not be underestimated, as they can mislead developers and reduce rustc's usability, and in severe cases may even lead to rustc crashes. Existing testing tools, however, provide little support for systematically evaluating the correctness and reliability of these suggestions. To address this gap, in this paper, we present SugBreaker, an automated testing framework specifically designed to validate rustc's suggestions. We propose a constraint-violation-guided mutation approach that injects type-related, borrow-related, and lifetime-related errors into valid Rust programs to trigger compiler diagnostics and iteratively verify the correctness of suggested fixes. SugBreaker has already detected 12 bugs, and 11 of them have been confirmed or fixed; all of them are triggered by different rustc error messages.Compared with a series of rustc testing baseline tools, SugBreaker achieves broader coverage of rustc's core checking modules and a higher suggestion trigger rate, which further confirms the effectiveness and efficiency of SugBreaker for testing rustc's fix suggestions.

Proceedings of the ACM on software engineering.Vol. 3(FSE)
Nanjing University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 8%
Software Testing and Debugging Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.