Reboot translates six C interpreters (6k-23k LOC) to safe Rust with 1-11 interventions each, passing all original tests and 62-92% on new validation tests while removing memory vulnerabilities.
Matchfixagent: Language-agnostic autonomous repository-level code translation validation and repair
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
Code translation transforms source code from one programming language (PL) to another. Validating the functional equivalence of translation and repairing, if necessary, are critical steps in code translation. Existing automated validation and repair approaches struggle to generalize to many PLs due to high engineering overhead, and they rely on existing and often inadequate test suites, which results in false claims of equivalence and ineffective translation repair. To bridge this gap, we develop MatchFixAgent, a large language model (LLM)-based, PL-agnostic framework for equivalence validation and repair of translations. MatchFixAgent features a multi-agent architecture that divides equivalence validation into several sub-tasks to ensure thorough and consistent semantic analysis of the translation. We compare MatchFixAgent's validation and repair results with four repository-level code translation techniques. Our results demonstrate that MatchFixAgent produces (in)equivalence verdicts for 99.2% of translation pairs, with the same equivalence validation result as prior work on 72.8% of them. When MatchFixAgent's result disagrees with prior work, we find that 60.7% of the time MatchFixAgent's result is actually correct. In addition, we show that MatchFixAgent can repair 50.6% of inequivalent translation, compared to prior work's 18.5%.
representative citing papers
ORBIT achieves 100% compilation success and 91.7% test success on 24 mostly large programs from CRUST-Bench by using dependency-aware orchestration and iterative verification, outperforming prior static and baseline tools.
SafeTrans achieves up to 80% successful C-to-Rust translations via LLM iterative repair on 2653 programs and two real projects, with some C vulnerabilities carrying over to the Rust output.
A survey of methods, benchmarks, and open challenges for large language models in multilingual code generation and translation.
citing papers explorer
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Mostly Automatic Translation of Language Interpreters from C to Safe Rust
Reboot translates six C interpreters (6k-23k LOC) to safe Rust with 1-11 interventions each, passing all original tests and 62-92% on new validation tests while removing memory vulnerabilities.
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ORBIT: Guided Agentic Orchestration for Autonomous C-to-Rust Transpilation
ORBIT achieves 100% compilation success and 91.7% test success on 24 mostly large programs from CRUST-Bench by using dependency-aware orchestration and iterative verification, outperforming prior static and baseline tools.
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SafeTrans: LLM-assisted Transpilation from C to Rust
SafeTrans achieves up to 80% successful C-to-Rust translations via LLM iterative repair on 2653 programs and two real projects, with some C vulnerabilities carrying over to the Rust output.
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Large Language Models for Multilingual Code Intelligence: A Survey
A survey of methods, benchmarks, and open challenges for large language models in multilingual code generation and translation.