2013 | OriginalPaper | Buchkapitel
Abstraction-Based Guided Search for Hybrid Systems
verfasst von : Sergiy Bogomolov, Alexandre Donzé, Goran Frehse, Radu Grosu, Taylor T. Johnson, Hamed Ladan, Andreas Podelski, Martin Wehrle
Erschienen in: Model Checking Software
Verlag: Springer Berlin Heidelberg
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Hybrid systems represent an important and powerful formalism for modeling real-world applications such as embedded systems. A verification tool like SpaceEx is based on the exploration of a symbolic search space (the
region space
). As a verification tool, it is typically optimized towards proving the absence of errors. In some settings, e.g., when the verification tool is employed in a feedback-directed design cycle, one would like to have the option to call a version that is optimized towards finding an error path in the region space. A recent approach in this direction is based on
guided search
. Guided search relies on a cost function that indicates which states are promising to be explored, and preferably explores more promising states first. In this paper, an abstraction-based cost function based on
pattern databases
for guiding the reachability analysis is proposed. For this purpose, a suitable abstraction technique that exploits the flexible granularity of modern reachability analysis algorithms is introduced. The new cost function is an effective extension of pattern database approaches that have been successfully applied in other areas. The approach has been implemented in the SpaceEx model checker. The evaluation shows its practical potential.