Enhancing classic transformation languages to support multi-level modeling

Atkinson, Colin ; Gerbig, Ralph ; Tunjic, Christian

DOI: https://doi.org/10.1007/s10270-013-0384-y
URL: http://link.springer.com/article/10.1007/s10270-01...
Additional URL: http://dl.acm.org/citation.cfm?id=2776912
Document Type: Article
Year of publication: 2015
The title of a journal, publication series: Software & Systems Modeling : SoSyM
Volume: 14
Issue number: 2
Page range: 645-666
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISSN: 1619-1366 , 1619-1374
Publication language: English
Institution: School of Business Informatics and Mathematics > Software Engineering (Atkinson 2003-)
Subject: 004 Computer science, internet
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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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