Next Steps in LLM-Supported Java Verification
February 03, 2025 Β· Declared Dead Β· π 2025 IEEE/ACM 1st International Workshop on Neuro-Symbolic Software Engineering (NSE)
"No code URL or promise found in abstract"
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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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