Speeding up model checking of timed-models by combining scenario specialization and live component analysis

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Abstract

The common practice for verifying properties described as event occurrence patterns is to translate them into observer state machines. The resulting observer is then composed with (the components of) the system under analysis in order to verify a reachability property. Live Component Analysis is a "cone of influence" abstraction technique aiming at mitigating state explosion by detecting, at each observer location, which components are actually relevant for model checking purposes. Interestingly enough, the more locations the observer has, the more precise the relevance analysis becomes. This work proposes the formal underpinnings of a method to safely leverage this fact when properties are stated as event patterns (scenarios). That is, we present a sound and complete method of property manipulation based on specializing and complementing scenarios. The application of this method is illustrated on two case studies of distributed real-time system designs, showing dramatic improvements in the verification phase, even in situations where verification of the original scenario was unfeasible. © 2009 Springer Berlin Heidelberg.

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APA

Braberman, V., Garbervestky, D., Kicillof, N., Monteverde, D., & Olivero, A. (2009). Speeding up model checking of timed-models by combining scenario specialization and live component analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5813 LNCS, pp. 58–72). Springer Verlag. https://doi.org/10.1007/978-3-642-04368-0_7

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