https://www.mdu.se/

mdu.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
The path towards the automatic provision of blended modeling environments
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2022 (English)In: Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings, Association for Computing Machinery, Inc , 2022, p. 213-216Conference paper, Published paper (Refereed)
Abstract [en]

Blended modeling aims to enhance the development of complex software-intensive systems by seamless integration of textual and graphical modeling. Manual provision of the synchronization transformations between notations is considered to be a tedious and error-prone task. Moreover, as synchronized languages and/or notations evolve, transformations become redundant as the implicit mappings they represent are no longer accurate. This research proposes a language-and notation-Agnostic solution for the automatic generation of synchronization transformations between arbitrary domain-specific modeling languages. We contribute with i) a mapping modeling language defined appositely for the definition of explicit mapping rules in a mapping model and ii) higher-order transformations for the automatic generation of synchronization transformations driven by mapping models. The approach is successfully validated against two use cases. © 2022 Owner/Author.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2022. p. 213-216
Keywords [en]
Automatic generation, Blended modeling, Mapping modeling language, Model transformations
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-61233DOI: 10.1145/3550356.3552394Scopus ID: 2-s2.0-85142923503ISBN: 9781450394673 (print)OAI: oai:DiVA.org:mdh-61233DiVA, id: diva2:1719164
Conference
ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022
Available from: 2022-12-14 Created: 2022-12-14 Last updated: 2022-12-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Latifaj, Malvina

Search in DiVA

By author/editor
Latifaj, Malvina
By organisation
Embedded Systems
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 27 hits
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