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DBLP
Conference object . 2023
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Multilevel modelling of coloured petri nets.

Authors: Tena, Alejandro Rodriguez; Rutle, Adrian; Duran, Francisco; Kristensen, Lars Michael; Macías, Fernando;

Multilevel modelling of coloured petri nets.

Abstract

Coloured Petri Nets (CPNs) is a modelling language for distributed systems which has been applied in a multitude of industrial cases. The supporting tool of CPNs is currently lacking important features such as having the possibility of tailoring the tool for specific domains and separation of concerns for facilitating its extensions and adaptation to new domains. In this paper, we present first steps towards using MultEcore as a multilevel modelling technique to tackle some of the CPN Tools main challenges by modelling CPNs and the CPN Tools using domain-specific multilevel modelling hierarchies. In particular, we take advantage of these hierarchies to first allow the definition of domainspecific CPNs languages and second to establish a clear separation between the CPN behaviour and the data types declarations.

Country
Norway
Keywords

VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kommunikasjon og distribuerte systemer: 423

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green