2016
DOI: 10.14232/actacyb.22.3.2016.2
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Improving Saturation-based Bounded Model Checking

Abstract: Formal verification is becoming a fundamental step in assuring the correctness of safety-critical systems. Since these systems are often asynchronous and even distributed, their verification requires methods that can deal with huge or even infinite state spaces. Model checking is one of the current techniques to analyse the behaviour of systems, as part of the verification process.In this paper a symbolic bounded model checking algorithm is presented that relies on efficient saturation-based methods. The previ… Show more

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Cited by 2 publications
(3 citation statements)
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“…• Bounded CTL model checking based on a novel saturation-based algorithm, with various search strategies [26,27]. This required the integration of the bounded state space exploration [24] with the CTL model checking algorithms.…”
Section: Saturation-based Ctl Model Checking Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…• Bounded CTL model checking based on a novel saturation-based algorithm, with various search strategies [26,27]. This required the integration of the bounded state space exploration [24] with the CTL model checking algorithms.…”
Section: Saturation-based Ctl Model Checking Algorithmsmentioning
confidence: 99%
“…This required the integration of the bounded state space exploration [24] with the CTL model checking algorithms. Further improvements were done in order to reduce the performance overhead of the bounded saturation [27].…”
Section: Saturation-based Ctl Model Checking Algorithmsmentioning
confidence: 99%
“…-CTL model checking of ordinary and coloured Petri nets based on traditional and extended versions of saturation [1,25], -Bounded CTL model checking based on a novel saturation-based algorithm, with various search strategies [10,24], -LTL model checking based on a novel synchronous product computation algorithm [20] and incremental SCC detection [19].…”
Section: Saturation-based Model Checking Algorithmsmentioning
confidence: 99%