تقرير
DafnyBench: A Benchmark for Formal Software Verification
| العنوان: | DafnyBench: A Benchmark for Formal Software Verification |
|---|---|
| المؤلفون: | Loughridge, Chloe, Sun, Qinyi, Ahrenbach, Seth, Cassano, Federico, Sun, Chuyue, Sheng, Ying, Mudide, Anish, Misu, Md Rakib Hossain, Amin, Nada, Tegmark, Max |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Programming Languages |
| الوصف: | We introduce DafnyBench, the largest benchmark of its kind for training and evaluating machine learning systems for formal software verification. We test the ability of LLMs such as GPT-4 and Claude 3 to auto-generate enough hints for the Dafny formal verification engine to successfully verify over 750 programs with about 53,000 lines of code. The best model and prompting scheme achieved 68% success rate, and we quantify how this rate improves when retrying with error message feedback and how it deteriorates with the amount of required code and hints. We hope that DafnyBench will enable rapid improvements from this baseline as LLMs and verification techniques grow in quality. Comment: Code & dataset available at: https://github.com/sun-wendy/DafnyBench |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.08467 |
| رقم الأكسشن: | edsarx.2406.08467 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |