Next Steps in LLM-Supported Java Verification

February 03, 2025 Β· Declared Dead Β· πŸ› 2025 IEEE/ACM 1st International Workshop on Neuro-Symbolic Software Engineering (NSE)

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Authors Samuel Teuber, Bernhard Beckert arXiv ID 2502.01573 Category cs.SE: Software Engineering Cross-listed cs.AI, cs.LG, cs.LO Citations 2 Venue 2025 IEEE/ACM 1st International Workshop on Neuro-Symbolic Software Engineering (NSE) Last Checked 4 months ago
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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