2004
DOI: 10.1007/978-3-540-27815-3_32
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Modal Abstractions in μCRL

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Cited by 12 publications
(11 citation statements)
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“…Recently, abstract interpretation technology for equation systems was added, allowing one to reduce complex, potentially infinite data types to simpler, finite data types. A recent theoretical analysis of the underlying theory [15] revealed that this technique is more powerful than model checking based on abstractions using modal transition systems, such as [38] and their generalisations using hypertransitions, see e.g. [42].…”
Section: The Mcrl2 Toolsetmentioning
confidence: 99%
“…Recently, abstract interpretation technology for equation systems was added, allowing one to reduce complex, potentially infinite data types to simpler, finite data types. A recent theoretical analysis of the underlying theory [15] revealed that this technique is more powerful than model checking based on abstractions using modal transition systems, such as [38] and their generalisations using hypertransitions, see e.g. [42].…”
Section: The Mcrl2 Toolsetmentioning
confidence: 99%
“…[19] is that they cannot naturally express logical and structural composition in the same formalism. A comparison between modal specifications and other theories such as interface automata [20] and process algebra [2] can be found in [3].…”
Section: Related Workmentioning
confidence: 99%
“…As observed in [20], to do model checking on infinitely-labelled systems, one needs abstraction to obtain a model with a reduced number of labels. We aim for an abstraction method to reduce the labels also in the finite case, by lumping similar transitions with different labels together into a unified one.…”
Section: Refinement and Abstractionmentioning
confidence: 99%
“…One way to deal with this, is to import the refinement and abstraction techniques developed for labelled transition systems (LTS), e.g. [16,15,20]. The refinement method intuitively relates a detailed model (refined model) with a coarser one (abstract model) in which some information may be lost, but the information kept is faithful to the detailed model.…”
Section: Introductionmentioning
confidence: 99%
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