2009
DOI: 10.1007/978-3-642-00255-7_21
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Partial Order Reduction for State/Event LTL

Abstract: Software systems assembled from a large number of autonomous components become an interesting target for formal verification due to the issue of correct interplay in component interaction. State/event LTL [6,5] incorporates both states and events to express important properties of component-based software systems.The main contribution of the paper is a partial order reduction technique for verification of state/event LTL properties. The core of the partial order reduction is a novel notion of stuttering equiva… Show more

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Cited by 8 publications
(8 citation statements)
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“…The correctness proof in [17] does not deal properly with this disparity. Further investigation shows that the same problem also occurs in two works of Beneš et al [2,3], who apply ample sets to state/event LTL model checking.…”
Section: Introductionmentioning
confidence: 55%
See 1 more Smart Citation
“…The correctness proof in [17] does not deal properly with this disparity. Further investigation shows that the same problem also occurs in two works of Beneš et al [2,3], who apply ample sets to state/event LTL model checking.…”
Section: Introductionmentioning
confidence: 55%
“…Although Beneš et al [2,3] rely on ample sets, and not on stubborn sets, they also discuss weak trace equivalence and stutter-trace equivalence. In fact, they present an equivalence relation for traces that is a combination of weak and stutter equivalence.…”
Section: Related Workmentioning
confidence: 99%
“…For SE-LTL, we follow [6,9] and associate action labels with the starting state of a corresponding event (with the marginal adjustment that action labels are taken from a set APe). We recall the semantics of LTL for infinite traces.…”
Section: Definitionsmentioning
confidence: 99%
“…State/event linear temporal logic (SE-LTL) [6,9] Definition 1 (SE-LTL). Let AP = APe U APs be a set of atomic propositions with two disjoint subsets.…”
Section: Definitionsmentioning
confidence: 99%
“…Our tool employs common methods (parallelism, distributed computing, state space reduction) to fight the state-space explosion. There are different kinds of state space reduction, such as bisimulation minimization [10] or partial order reduction [6]. Our tool provides the latter.…”
Section: Introductionmentioning
confidence: 99%