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Partial-Order Reduction for General State Exploring Algorithms

Bosnacki, Dragan and Leue, Stefan and Lluch-Lafuente, Alberto Partial-Order Reduction for General State Exploring Algorithms. In: Model Checking Software (SPIN 2006). Lecture Notes in Computer Science, 3925 . Springer, pp. 271-287. ISBN 3-540-33102-6 (2006)

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An important component of partial-order based reduction algorithms is the condition that prevents action ignoring, commonly known as the cycle proviso. In this paper we give a new version of this proviso that is applicable to a general search algorithm skeleton also known as the General State Expanding Algorithm (GSEA). GSEA maintains a set of open (visited but not expanded) states from which states are iteratively selected for exploration and moved to a closed set of states (visited and expanded). Depending on the open set data structure used, GSEA can be instantiated as depth-first, breadth-first, or a directed search algorithm. The proviso is characterized by reference to the open and closed set of states in GSEA. As a result the proviso can be computed in an efficient manner during the search based on local information. We implemented partial-order reduction for GSEA based on our proposed proviso in the tool HSF-SPIN, which is an extension of the model checker SPIN for directed model checking. We evaluate the state space reduction achieved by partial-order reduction according to the proviso that we propose by comparing it on a set of benchmark problems to other reduction approaches. We also compare the use of breadth-first search and A*, two algorithms ensuring that counterexamples of minimal length will be found, together with the proviso that we propose. }

Item Type: Book Section
Identification Number: 10.1007/11691617_16
Additional Information: © Springer-Verlag Berlin Heidelberg 2006. The original publication is available at www.springerlink.com.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Users 30 not found.
Date Deposited: 31 Mar 2011 14:06
Last Modified: 11 Jul 2011 14:34
URI: http://eprints.imtlucca.it/id/eprint/158

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