Formal verification of Rust programs with Verus provides strong correctness guarantees, but developing the auxiliary specifications and proofs still requires considerable manual effort. Existing LLM-based proof-synthesis agents can automate part of this process, yet their effectiveness on non-trivial tasks is often lim...
Yu-Cheng Zhang, Cheng Wen, Jia-Lun Cao et al.· Proceedings of the 41st IEEE...· 0 citations
Formal verification provides strong correctness guarantees, but its practical adoption is limited by the cost of writing precise formal specifications. While large language models can generate candidate specifications, prompt-only generation and monolithic LLM pipelines often struggle with verifier feedback, iterative...
Wen-Jie Wu, Jun-Jie Hu, Cheng Wen et al.· Companion Proceedings of the...· 0 citations
A multi-agent collaborative framework, StarVerus, to automate the verification of industrial Rust code and introduces a planner-repairer-actor-rewriter multi-agent paradigm to further enhance the proof repair capabilities.
Chao Jiang, Ding Wang, Du-Gang Liu et al.· Proceedings of the 32nd ACM...· 0 citations
Creating code specifications is a crucial measure to improve the trustworthiness of many industrial systems implemented in Rust with high security requirements. Because writing specifications requires highly specialized professionals and is time-consuming, the automatic generation of specifications, enabled by large la...
Chao Jiang, Ding Wang, Dugang Liu et al.· Proceedings of the 32nd ACM...· 0 citations
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