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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Hierarchical Set Decision Diagrams and Regular Models
verfasst von : Yann Thierry-Mieg, Denis Poitrenaud, Alexandre Hamez, Fabrice Kordon
Erschienen in: Tools and Algorithms for the Construction and Analysis of Systems
Verlag: Springer Berlin Heidelberg
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This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic model-checking. We encode the state space and transition relation using hierarchical Set Decision Diagrams (SDD) [9].In SDD, arcs of the structure are labeled with sets, themselves stored as SDD.
To exploit the hierarchy of SDD, a structured model representation is needed. We thus introduce a formalism integrating a simple notion of
type
and
instance
. Complex composite behaviors are obtained using a synchronization mechanism borrowed from process calculi. Using this relatively general framework, we investigate how to capture similarities in regular and concurrent models. Experimental results are presented, showing that this approach can outperform in time and memory previous work in this area.