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arXiv · 2002.12447

Bringing freedom in variable choice when searching counter-examples in floating point programs

Heytem Zitoun·Claude Michel·Laurent Michel·Michel Rueher
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Abstract

Program verification techniques typically focus on finding counter-examples that violate properties of a program. Constraint programming offers a convenient way to verify programs by modeling their state transformations and specifying searches that seek counter-examples. Floating-point computations present additional challenges for verification given the semantic subtleties of floating point arithmetic. % This paper focuses on search strategies for CSPs using floating point numbers constraint systems and dedicated to program verification. It introduces a new search heuristic based on the global number of occurrences that outperforms state-of-the-art strategies. More importantly, it demonstrates that a new technique that only branches on input variables of the verified program improve performance. It composes with a diversification technique that prevents the selection of the same variable within a fixed horizon further improving performances and reduces disparities between various variable choice heuristics. The result is a robust methodology that can tailor the search strategy according to the sought properties of the counter example.

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Heytem Zitoun, Claude Michel, Laurent Michel, Michel Rueher. 2020-02-27. Bringing freedom in variable choice when searching counter-examples in floating point programs. https://arxiv.org/abs/2002.12447

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