TY  - CHAP
ED  - Valmari, Antti
Y1  - 2006///
PB  - Springer
A1  - Bosnacki, Dragan
A1  - Leue, Stefan
A1  - Lluch-Lafuente, Alberto
SP  - 271
T3  - Lecture Notes in Computer Science
ID  - eprints158
N1  - © Springer-Verlag Berlin Heidelberg 2006. The original publication is available at www.springerlink.com.
T2  - Model Checking Software (SPIN 2006)
EP  - 287
AV  - none
TI  - Partial-Order Reduction for General State Exploring Algorithms
UR  - http://dx.doi.org/10.1007/11691617_16
SN  - 3-540-33102-6
N2  - 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.
}
M1  - 3925
ER  -