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Interpolation-Based Multi-core Bounded Model Checking of HSTM Designs

机译:HSTM设计基于插值的多核有界模型检查

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Bounded model checking, an effective way to reduce the state space, plays a significant role in verifying the reliability of a system. By combining bounded model checking and interpolation sequence, the verification of the properties out of some certain boundary can be completed. However, the introduction of interpolation-sequence increases the complexity of the model encoding and then affects the overall performance of a model checker. In order to alleviate the problem, we propose interpolation-based multi-core bounded model checking technology. Decomposing large problems into small ones, multicore parallel solutions can effectively shorten the elapsed time of problem processing. According to the conditional predicates, the paths in the model are divided into path clusters, and the interpolation sequence is used to determine if there is no counterexample path in each path cluster. Based on the nature of fixpoint in the path cluster, we propose a path cluster pruning algorithm in order to reduce the scale of the state space to be searched, which contributes to improving the efficiency. In this paper, we also present two optimization methods: incremental encoding and verification hypothesis. We have implemented the algorithms in the verification of the Hierarchical State Transition Matrix (HSTM) model design, and the experimental results have shown that our method have significantly increase the credibility of the verification results.
机译:有界模型检查是减少状态空间的有效方法,在验证系统可靠性方面起着重要作用。通过结合有界模型检查和插值序列,可以完成对某些边界之外的属性的验证。但是,插值序列的引入增加了模型编码的复杂性,进而影响了模型检查器的整体性能。为了缓解这一问题,我们提出了基于插值的多核有界模型检查技术。将大问题分解为小问题,多核并行解决方案可以有效地缩短问题处理的时间。根据条件谓词,将模型中的路径划分为路径簇,并使用插值序列确定每个路径簇中是否没有反例路径。根据路径簇中定点的性质,提出一种路径簇修剪算法,以减少待搜索状态空间的规模,有助于提高效率。在本文中,我们还提出了两种优化方法:增量编码和验证假设。我们已经在分层状态转移矩阵(HSTM)模型设计的验证中实现了算法,并且实验结果表明,我们的方法大大提高了验证结果的可信度。

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