Model checking approaches can be divided into two broad categories: global approaches that determine the set of all states in a model M that satisfy a temporal logic formula Φ, and local approaches in which, given a state s in M , the procedure determines whether s satisfies Φ. When s is a term of a process language, the model-checking procedure can be executed "on-the-fly", driven by the syntactical structure of s. For certain classes of systems, e.g. those composed of many parallel components, the local approach is preferable because, depending on the specific property, it may be sufficient to generate and inspect only a relatively small part of the state space. We propose an efficient, on-the- fly, PCTL model checking procedure that is parametric with respect to the semantic interpretation of the language. The procedure comprises both bounded and unbounded until modalities. The correct- ness of the procedure is shown and its efficiency is compared with a global PCTL model checker on representative applications.
On-the-fly probabilistic model checking
Latella D;Massink M
2014
Abstract
Model checking approaches can be divided into two broad categories: global approaches that determine the set of all states in a model M that satisfy a temporal logic formula Φ, and local approaches in which, given a state s in M , the procedure determines whether s satisfies Φ. When s is a term of a process language, the model-checking procedure can be executed "on-the-fly", driven by the syntactical structure of s. For certain classes of systems, e.g. those composed of many parallel components, the local approach is preferable because, depending on the specific property, it may be sufficient to generate and inspect only a relatively small part of the state space. We propose an efficient, on-the- fly, PCTL model checking procedure that is parametric with respect to the semantic interpretation of the language. The procedure comprises both bounded and unbounded until modalities. The correct- ness of the procedure is shown and its efficiency is compared with a global PCTL model checker on representative applications.File | Dimensione | Formato | |
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Descrizione: A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours
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