一种新的高效仿真等效算法

Francesco Ranzato, Francesco Tapparo
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引用次数: 49

摘要

众所周知,仿真等价是一种适合用于模型检查的抽象,因为它强烈地保留了ACTL*,并且比双仿真等价提供了更好的空间缩减。但是,计算仿真等价比计算双仿真等价要困难。存在许多计算仿真等效的算法。设Sigma为状态空间,rarr为转移关系,Psim为由模拟等价引起的Sigma划分。Henzinger、Henzinger、Kopke以及Bloom和Paige的算法运行时间为O(|Sigma||rarr|),就时间复杂度而言,它们是目前可用的最佳算法。然而,这些算法有二次空间复杂度的缺点,从下到下由Omega(|Sigma|2)限定。Gentilini, Piazza, Policriti的算法在考虑时间和空间复杂性时似乎是最好的算法。Gentilini等人的算法运行时间为O(|Psim|2|rarr|),空间复杂度为O(|Psim|2 + |Sigma| log(|Psim|))。本文提出了一种新的高效仿真等效算法,该算法是对Henzinger等人的算法的改进,其正确性基于最近在抽象解释模型检验中应用的一些技术。算法运行时间为O(|Psim||rarr|),空间为O(|Psim||Sigma|)。因此,在保持低于二次元的空间复杂度的同时,我们的算法改进了已知的最佳时间范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Efficient Simulation Equivalence Algorithm
It is well known that simulation equivalence is an appropriate abstraction to be used in model checking because it strongly preserves ACTL* and provides a better space reduction than bisimulation equivalence. However, computing simulation equivalence is harder than computing bisimulation equivalence. A number of algorithms for computing simulation equivalence exist. Let Sigma denote the state space, rarr the transition relation and Psim the partition of Sigma induced by simulation equivalence. The algorithms by Henzinger, Henzinger, Kopke and by Bloom and Paige run in O(|Sigma||rarr|)-time and, as far as time-complexity is concerned, they are the best available algorithms. However, these algorithms have the drawback of a quadratic space complexity that is bounded from below by Omega(|Sigma|2). The algorithm by Gentilini, Piazza, Policriti appears to be the best algorithm when both time and space complexities are taken into account. Gentilini et al.'s algorithm runs in O(|Psim|2|rarr|)-time while the space complexity is in O(|Psim|2 + |Sigma| log(|Psim|)). We present here a new efficient simulation equivalence algorithm that is obtained as a modification of Henzinger et al.'s algorithm and whose correctness is based on some techniques used in recent applications of abstract interpretation to model checking. Our algorithm runs in O(|Psim||rarr|)-time and O(|Psim||Sigma|)-space. Thus, while retaining a space complexity which is lower than quadratic, our algorithm improves the best known time bound.
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