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arXiv · 1710.03391

Causality-based Model Checking

Bernd Finkbeiner·Andrey Kupriyanov
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Abstract

Model checking is usually based on a comprehensive traversal of the state space. Causality-based model checking is a radically different approach that instead analyzes the cause-effect relationships in a program. We give an overview on a new class of model checking algorithms that capture the causal relationships in a special data structure called concurrent traces. Concurrent traces identify key events in an execution history and link them through their cause-effect relationships. The model checker builds a tableau of concurrent traces, where the case splits represent different causal explanations of a hypothetical error. Causality-based model checking has been implemented in the ARCTOR tool, and applied to previously intractable multi-threaded benchmarks.

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Bernd Finkbeiner, Andrey Kupriyanov. 2017-10-10. Causality-based Model Checking. https://doi.org/10.4204/eptcs.259.3

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