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Towards Seamless Hybrid Graphical-Textual Modelling for UML and Profiles
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-0401-1036
EclipsSource, Austria.
Zeligsoft, Canada.
2017 (English)In: Lecture Notes in Computer Science, vol. 10376, Springer, 2017, p. 20-33Chapter in book (Refereed)
Abstract [en]

Domain-specific modelling languages, in particular those described in terms of UML profiles, use graphical notations to maximise human understanding and facilitate communication among stakeholders. Nevertheless, textual notations are preferred for specific purposes, due to the nature of a specific domain, or for personal preference. The mutually exclusive use of graphical or textual modelling is not sufficient for the development of complex systems developed by large heterogeneous teams. We envision a modern modelling framework supporting seamless hybrid graphical and textual modelling. Such a framework would provide several benefits, among which: flexible separation of concerns, multi-view modelling based on multiple notations, convenient text-based editing operations, and text-based model editing outside the modelling environment, and faster modelling activities. In this paper we describe our work towards such a framework for UML and profiles. The uniqueness is that both graphical and textual modelling are done on a common persistent model resource, thus dramatically reducing the need for synchronisation among the two notations.

Place, publisher, year, edition, pages
Springer, 2017. p. 20-33
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10376
Keywords [en]
hybrid graphical–textual modelling, multi-view modelling, UML, profiles, MARTE, Xtext, Papyrus
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35507DOI: 10.1007/978-3-319-61482-3_2ISI: 000434211900002Scopus ID: 2-s2.0-85025145474ISBN: 9783319614816 (print)OAI: oai:DiVA.org:mdh-35507DiVA, id: diva2:1107476
Conference
13th European Conference on Modelling Foundations and Applications ECMFA 2017, 19-20 Jul 2017, Marburg, Germany
Projects
MOMENTUM: analysis of models towards compilation to predictable embedded real-time and safety-critical applicationsAvailable from: 2017-06-09 Created: 2017-06-09 Last updated: 2018-06-21Bibliographically approved

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Ciccozzi, Federico

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Citation style
  • apa
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Output format
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