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Erschienen in: Software and Systems Modeling 3/2019

02.03.2018 | Special Section Paper

Metamodel specialization for graphical language support

verfasst von: Audris Kalnins, Janis Barzdins

Erschienen in: Software and Systems Modeling | Ausgabe 3/2019

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Abstract

Most of current modeling languages are based on graphical diagrams. The concrete graphical syntax of these languages typically is defined informally—by text and diagram examples. Only recently, starting from UML 2.5, a formalism is offered for defining the graphical syntax of UML. This formalism is based on Diagram Definition standard by OMG, where the main emphasis is on enabling diagram interchange between different tools implementing the given language. While this is crucial for standardized languages such as UML, this aspect is not so important for domain-specific languages. In this paper, an approach is offered for a simple direct definition of concrete graphical syntax by means of metamodels. Metamodels are typically used for a language definition, but mainly the MOF-inspired approach via meta-metamodel instantiation is used. We offer an alternative approach based on core metamodel specialization which leads to a more direct and understandable definition staying at the same meta-layer. In addition, our approach permits a natural extension—facility for a graphical editor definition for the given language, which is vital in the world of DSLs. In contrast to most DSL development platforms, which are based on the abstract syntax metamodel of the language and a mapping to graphics, our facility is based directly on the graphical syntax. But we show that in those cases where the relation to the DSL abstract syntax is really required, a mapping from the graphical syntax to abstract syntax can be relatively easily defined by the specialization approach.

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Metadaten
Titel
Metamodel specialization for graphical language support
verfasst von
Audris Kalnins
Janis Barzdins
Publikationsdatum
02.03.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 3/2019
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-018-0668-3

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