Next Steps in LLM-Supported Java Verification
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866913910795272192 |
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| author | Teuber, Samuel Beckert, Bernhard |
| author_facet | Teuber, Samuel Beckert, Bernhard |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_01573 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Next Steps in LLM-Supported Java Verification Teuber, Samuel Beckert, Bernhard Software Engineering Artificial Intelligence Machine Learning Logic in Computer Science 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. |
| title | Next Steps in LLM-Supported Java Verification |
| topic | Software Engineering Artificial Intelligence Machine Learning Logic in Computer Science |
| url | https://arxiv.org/abs/2502.01573 |