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arXiv · 1802.05616

Model Generation for Quantified Formulas: A Taint-Based Approach

Benjamin Farinier·Sébastien Bardin·Richard Bonichon·Marie-Laure Potet
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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.

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Benjamin Farinier, Sébastien Bardin, Richard Bonichon, Marie-Laure Potet. 2018-02-15. Model Generation for Quantified Formulas: A Taint-Based Approach. https://arxiv.org/abs/1802.05616

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