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Enhancing classic transformation languages to support multi-level modeling
Atkinson, Colin
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Gerbig, Ralph
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Tunjic, Christian
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DOI:
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https://doi.org/10.1007/s10270-013-0384-y
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URL:
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http://link.springer.com/article/10.1007/s10270-01...
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Weitere URL:
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http://dl.acm.org/citation.cfm?id=2776912
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Dokumenttyp:
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Zeitschriftenartikel
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Erscheinungsjahr:
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2015
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Titel einer Zeitschrift oder einer Reihe:
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Software & Systems Modeling : SoSyM
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Band/Volume:
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14
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Heft/Issue:
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2
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Seitenbereich:
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645-666
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Ort der Veröffentlichung:
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Berlin [u.a.]
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Verlag:
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Springer
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ISSN:
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1619-1366 , 1619-1374
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Software Engineering (Atkinson 2003-)
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Fachgebiet:
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004 Informatik
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Suche Autoren in
BASE:
Atkinson, Colin
;
Gerbig, Ralph
;
Tunjic, Christian
Google Scholar:
Atkinson, Colin
;
Gerbig, Ralph
;
Tunjic, Christian
ORCID:
Atkinson, Colin  ORCID: https://orcid.org/0000-0002-3164-5595, Gerbig, Ralph and Tunjic, Christian
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