Next Steps in LLM-Supported Java Verification

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 provably 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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Published
2025-05-03
DOI
https://doi.org/10.1109/nse66660.2025.00007
Citations
1
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.11

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article

Next Steps in LLM-Supported Java Verification

Bernhard Beckert, Samuel Teuber
1 citations
Simulation Techniques and Applications
2.11
article

Next Steps in LLM-Supported Java Verification

Bernhard Beckert, Samuel Teuber
article en
1 citations

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 provably 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.

Karlsruhe Institute of Technology (DE)
Helmholtz Association
Openalex Percentile: Top 13%
Simulation Techniques and Applications
2.11
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