To split or to conjoin: the question in image computation

In-Ho Moon, J. Kukula, Kavita Ravi, F. Somenzi
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引用次数: 82

Abstract

Image computation is the key step in fixpoint computations that are extensively used in model checking. Two techniques have been used for this step: one based on conjunction of the terms of the transition relation, and the other based on recursive case splitting. We discuss when one technique outperforms the other, and consequently formulate a hybrid approach to image computation. Experimental results show that the hybrid algorithm is much more robust than the “pure” algorithms and outperforms both of them in most cases. Our findings also shed light on the remark of several researchers that splitting is especially effective in approximate reachability analysis.
分割或合并:图像计算中的问题
不动点计算广泛应用于模型检验中,图像计算是其中的关键步骤。这一步使用了两种技术:一种基于转换关系项的结合,另一种基于递归分例。我们讨论了一种技术何时优于另一种技术,并因此制定了一种混合方法来图像计算。实验结果表明,混合算法比“纯”算法具有更强的鲁棒性,并且在大多数情况下优于两者。我们的发现也阐明了一些研究人员的评论,即分裂在近似可达性分析中特别有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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