2005
DOI: 10.1007/11562948_35
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Flat Acceleration in Symbolic Model Checking

Abstract: Abstract. Symbolic model checking provides partially effective verification procedures that can handle systems with an infinite state space. So-called "acceleration techniques" enhance the convergence of fixpoint computations by computing the transitive closure of some transitions. In this paper we develop a new framework for symbolic model checking with accelerations. We also propose and analyze new symbolic algorithms using accelerations to compute reachability sets.

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Cited by 66 publications
(99 citation statements)
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“…Herein, we show decidability of model checking FOCTL (Pr) over ACS and we propose a complete semi-algorithm for model checking FOLTL(Pr) formulae over trace-flattable PCS, extending what is done in [BFLS05] for post*-flattable PCS.…”
Section: Model-checking Flattable Counter Systemsmentioning
confidence: 89%
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“…Herein, we show decidability of model checking FOCTL (Pr) over ACS and we propose a complete semi-algorithm for model checking FOLTL(Pr) formulae over trace-flattable PCS, extending what is done in [BFLS05] for post*-flattable PCS.…”
Section: Model-checking Flattable Counter Systemsmentioning
confidence: 89%
“…In this section, we provide the basis to understand how our results on ACS can be used to verify more general classes of PCS and under which hypotheses (see also Section 5.2). The most standard way to reduce a PCS to an ACS is via a graph homomorphism, aka a flattening [BFLS05].…”
Section: Model-checking For Three Main Classes Of Flattable Systemsmentioning
confidence: 99%
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