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Next Steps in LLM-Supported Java Verification

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abstract

Recent work has shown that Large Language Models (LLMs) are not only a suitable tool for code generation but also capable of generating annotation-based code specifications. Scaling these methodologies may allow us to deduce provable correctness guarantees for large-scale software systems. In comparison to other LLM tasks, the application field of deductive verification has the notable advantage of providing a rigorous toolset to check LLM-generated solutions. This short paper provides early results on how this rigorous toolset can be used to reliably elicit correct specification annotations from an unreliable LLM oracle.

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cs.SE 1

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2025 1

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representative citing papers

Do AI models help produce verified bug fixes?

cs.SE · 2025-07-21 · conditional · novelty 6.0

Programmers with LLM access solved fewer formally verified debugging tasks than a no-AI control group, though complete novices and strong language experts gained some benefit.

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  • Do AI models help produce verified bug fixes? cs.SE · 2025-07-21 · conditional · none · ref 30 · internal anchor

    Programmers with LLM access solved fewer formally verified debugging tasks than a no-AI control group, though complete novices and strong language experts gained some benefit.