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arXiv · 1812.04159

Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input

Gidon Ernst·Sean Sedwards·Zhenya Zhang·Ichiro Hasuo
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Abstract

We present an algorithm that quickly finds falsifying inputs for hybrid systems, i.e., inputs that steer the system towards violation of a given temporal logic requirement. Our method is based on a probabilistically directed search of an increasingly fine grained spatial and temporal discretization of the input space. A key feature is that it adapts to the difficulty of a problem at hand, specifically to the local complexity of each input segment, as needed for falsification. In experiments with standard benchmarks, our approach consistently outperforms existing techniques by a significant margin. In recognition of the way it works and to distinguish it from previous work, we describe our method as a "Las Vegas tree search".

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Gidon Ernst, Sean Sedwards, Zhenya Zhang, Ichiro Hasuo. 2018-12-11. Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input. https://arxiv.org/abs/1812.04159

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