Zur Kurzanzeige

dc.contributor.authorDrux, Florian
dc.contributor.authorJansen, Nico
dc.contributor.authorRumpe, Bernhard
dc.contributor.authorSchmalzing, David
dc.contributor.editorMichael, Judith
dc.contributor.editorPfeiffer
dc.contributor.editorJérôme
dc.contributor.editorWortmann, Andreas
dc.date.accessioned2022-06-30T13:01:10Z
dc.date.available2022-06-30T13:01:10Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/38802
dc.description.abstractStakeholders in model-based systems engineering projects often rely on heterogeneous modeling languages and tools. Efficient and seamless model-based engineering requires analyzing consistency, maintaining tracing information, and propagating changes of models of these languages even in different technological spaces. However, research on software language integration and inter-model consistency often only considers modeling languages and tools within the same technological space. We present a method for language composition across the technological spaces of the graphical modeling framework MagicDraw and the language workbench MontiCore. We realized language integration between these technological spaces by applying concepts of language aggregation to exchange essential model information and performing analysis on this information in an automated toolchain. The presented concepts can guide software language engineers and modeling tool developers on how to combine concepts of language composition to bridge technological spaces.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022 Satellite Events
dc.subjectLanguage Engineering
dc.subjectLanguage Composition
dc.subjectTool Integration
dc.subjectModel-Based Engineering
dc.titleEmbedding Textual Languages in MagicDrawen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages32-43
mci.conference.sessiontitleState of the Art Methods and Tools in Model-based Systems Engineering (SpesML'22)
mci.conference.locationHamburg
mci.conference.date27.6. - 1.7.2022
dc.identifier.doi10.18420/modellierung2022ws-006


Dateien zu dieser Ressource

Thumbnail

Zur Kurzanzeige