mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Blended modelling - What, why and how
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-0401-1036
Ulm University, Ulm, Germany.
Univ. of Antwerp - Flanders Make, Antwerp, Belgium.
KU Leuven and Linneaus Univ., Leuven, Belgium.
2019 (English)In: Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 425-430Conference paper, Published paper (Refereed)
Abstract [en]

Empirical studies indicate that user experience can significantly be improved in model-driven engineering. Blended modelling aims at mitigating this by enabling users to interact with a single model through different notations. Blended modelling contributes to various modelling qualities, including comprehensibility, analysability, and acceptability. In this paper, we define the notion of blended modelling and propose a set of dimensions that characterise blended modelling. The dimensions are grouped in two classes: user-oriented dimensions and realisation-oriented dimensions. Each dimension describes a facet that is relevant to blended modelling together with its domain (i.e., the range of values for that dimension). The dimensions offer a basic vocabulary to support tool developers with making well-informed design decisions as well as users to select appropriate tools and configure them according to the needs at hand. We illustrate how the dimensions apply to different cases relying on our experience with blended modelling. We discuss the impact of blended modelling on usability and user experience and sketch metrics to measure it. Finally, we outline a number of core research directions in this increasingly important modelling area.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 425-430
Keywords [en]
Abstract syntax, Blended modelling, Concrete syntax, Modelling, Notations, Tools, User experience, Models, Syntactics, Design decisions, Empirical studies, Model-driven Engineering, Single models, C (programming language)
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-46530DOI: 10.1109/MODELS-C.2019.00068Scopus ID: 2-s2.0-85075926513ISBN: 9781728151250 (print)OAI: oai:DiVA.org:mdh-46530DiVA, id: diva2:1379617
Conference
22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019, 15 September 2019 through 20 September 2019
Projects
MOMENTUM: analysis of models towards compilation to predictable embedded real-time and safety-critical applicationsMINEStrA: Model Integration for Early Simulation and AnalysisHERO: Heterogeneous systems - software-hardware integrationAvailable from: 2019-12-17 Created: 2019-12-17 Last updated: 2019-12-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Ciccozzi, Federico

Search in DiVA

By author/editor
Ciccozzi, Federico
By organisation
Embedded Systems
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf