Template-Based Conjecturing for Automated Induction in Isabelle/HOL

التفاصيل البيبلوغرافية
العنوان: Template-Based Conjecturing for Automated Induction in Isabelle/HOL
المؤلفون: Nagashima, Yutaka, Xu, Zijin, Wang, Ningli, Goc, Daniel Sebastian, Bang, James
سنة النشر: 2022
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Logic in Computer Science
الوصف: Proof by induction plays a central role in formal verification. However, its automation remains as a formidable challenge in Computer Science. To solve inductive problems, human engineers often have to provide auxiliary lemmas manually. We automate this laborious process with template-based conjecturing, a novel approach to generate auxiliary lemmas and use them to prove final goals. Our evaluation shows that our working prototype, TBC, achieved 40 percentage point improvement of success rates for problems at intermediate difficulty level.
Comment: To appear at Fundamentals of Software engineering 2023 (http://fsen.ir/2023/)
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2212.11151
رقم الأكسشن: edsarx.2212.11151
قاعدة البيانات: arXiv