Model Generation for Quantified Formulas: A Taint-Based Approach
Authors: Benjamin Farinier, Sebastien Bardin, Richard Bonichon and Marie-Laure Potet
Paper Information
Title: | Model Generation for Quantified Formulas: A Taint-Based Approach |
Authors: | Benjamin Farinier, Sebastien Bardin, Richard Bonichon and Marie-Laure Potet |
Proceedings: | CAV All Papers |
Editors: | Georg Weissenbacher, Hana Chockler and Igor Konnov |
Keywords: | automated reasoning, first-order logic, model generation |
Abstract: | ABSTRACT. We focus in this paper on generating models of quantified first-order formulas over built-in theories, which is paramount in software verification and bug finding. While standard methods are either geared toward proving the absence of solution or targeted to specific theories, we propose a generic approach based on a reduction to the quantifier-free case. Our technique allows thus to reuse all the efficient machinery developed for that context. Experiments show a substantial improvement over state-of-the-art methods. |
Pages: | 19 |
Talk: | Jul 17 12:00 (Session 119A: SAT, SMT and Decision Procedures) |
Paper: |