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  7. Approximate Model Checking of Real-Time Systems for Linear Duration Invariants

Approximate Model Checking of Real-Time Systems for Linear Duration Invariants

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Authors: Choe, ChangilO., Hyong-CholHan, Song
Issue Date: 2013
Citation: Serdica Journal of Computing, Vol. 7, No 1, (2013), 1p-12p Copy to clipboard
ISSN: 1312-6555
URI: http://hdl.handle.net/10525/2004 Copy to clipboard
Abstract: Real-time systems are usually modelled with timed automata and real-time requirements relating to the state durations of the system are often specifiable using Linear Duration Invariants, which is a decidable subclass of Duration Calculus formulas. Various algorithms have been developed to check timed automata or real-time automata for linear duration invariants, but each needs complicated preprocessing and exponential calculation. To the best of our knowledge, these algorithms have not been implemented. In this paper, we present an approximate model checking technique based on a genetic algorithm to check real-time automata for linear durration invariants in reasonable times. Genetic algorithm is a good optimization method when a problem needs massive computation and it works particularly well in our case because the fitness function which is derived from the linear duration invariant is linear. ACM Computing Classification System (1998): D.2.4, C.3.
Language: en
Publisher: Institute of Mathematics and Informatics, Bulgarian Academy of SciencesSubject: Approximate Model CheckingVerificationReal-Time SystemLinear Duration InvariantGenetic Algorithm
Type: Article