Towards Repository-Level Program Verification with Large Language Models

Recent advancements in large language models (LLMs) suggest great promises in code and proof generations. However, scaling automated formal verification to real-world projects requires resolving cross-module dependencies and global contexts, which are crucial challenges overlooked by existing LLM-based methods with a special focus on targeting isolated, function-level verification tasks. To systematically explore and address the significant challenges of verifying entire software repositories, we introduce RVBench, the first verification benchmark explicitly designed for repository-level evaluation, constructed from four diverse and complex open-source Verus projects.

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Published
2025-10-09
DOI
https://doi.org/10.1145/3759425.3763382
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards Repository-Level Program Verification with Large Language Models

Xujie Si, Si Cheng Zhong
Parallel Computing and Optimization Techniques
article

Towards Repository-Level Program Verification with Large Language Models

Xujie Si, Si Cheng Zhong
article en

Abstract

Recent advancements in large language models (LLMs) suggest great promises in code and proof generations. However, scaling automated formal verification to real-world projects requires resolving cross-module dependencies and global contexts, which are crucial challenges overlooked by existing LLM-based methods with a special focus on targeting isolated, function-level verification tasks. To systematically explore and address the significant challenges of verifying entire software repositories, we introduce RVBench, the first verification benchmark explicitly designed for repository-level evaluation, constructed from four diverse and complex open-source Verus projects.

University of Toronto (CA)
Canadian Institute for Advanced Research, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 69%
Parallel Computing and Optimization Techniques
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