%O ? Springer-Verlag Berlin Heidelberg 2006. The original publication is available at www.springerlink.com.
%V 3925
%I Springer
%T Partial-Order Reduction for General State Exploring Algorithms
%P 271-287
%B Model Checking Software (SPIN 2006)
%R 10.1007/11691617_16
%A Dragan Bosnacki
%A Stefan Leue
%A Alberto Lluch-Lafuente
%S Lecture Notes in Computer Science
%D 2006
%L eprints158
%X 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.
}
%E Antti Valmari