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Software and Systems Modeling
Erschienen in: Software and Systems Modeling 2/2015

01.05.2015 | Special Section Paper

Enhancing classic transformation languages to support multi-level modeling

verfasst von: Colin Atkinson, Ralph Gerbig, Christian Vjekoslav Tunjic

Erschienen in: Software and Systems Modeling | Ausgabe 2/2015

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Abstract

As practical tools for disciplined multi-level modeling have begun to mature, the problem of supporting simple and efficient transformations to-and-from multi-level models to facilitate interoperability has assumed growing importance. The challenge is not only to support efficient transformations between multi-level models, but also between multi-level and two-level model content represented in traditional modeling infrastructures such as the UML and programming languages. Multi-level model content can already be accessed by traditional transformation languages such as ATL and QVT, but in a way that is blind to the ontological classification information they contain. In this paper, we present an approach for making rule-based transformation languages “multi-level aware” so that the semantics of ontological classification as well as linguistic classification can be exploited when writing transformations.
Vorheriger Artikel Specification-driven model transformation testing
Nächster Artikel Special section of SoSyM dedicated to 50 years of Petri nets

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Fußnoten
1
In this paper we use the term “ontology” to refer the collection of all the (domain) model elements across all the ontological levels within the \(L_1\) linguistic level.
 
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Metadaten
Titel
Enhancing classic transformation languages to support multi-level modeling
verfasst von
Colin Atkinson
Ralph Gerbig
Christian Vjekoslav Tunjic
Publikationsdatum
01.05.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 2/2015
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-013-0384-y

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