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LeaxDSML - Language Engineering for Analyzable Executable DSMLs

  • Garmendia, Antonio (Forscher*in)
  • Leroy, Dorian (Forscher*in)
  • Wimmer, Manuel (Projektleiter*in)

Projekt: Geförderte ForschungFWF - Österreichischer Wissenschaftsfonds

Projektdetails

Beschreibung

he project LEA-xDSML - Language Engineering for Analyzable Executable Domain-Specific Modeling Languages resides in the context of Model-Driven Engineering (MDE), which proposes the use of domain-specific modeling languages (DSMLs) to reduce the complexity. LEA xDSML is a research project concerned with language engineering methods for executable modeling languages. This project started in July 2018 at TU Wien and was moved in January 2019 to JKU Linz. Currently, it is carried out by the Software Engineering Department at JKU and funded by the Austrian Science Fund FWF. This project will run for three years. Context LEA xDSML resides in the context of Model-Driven Engineering (MDE), which proposes the use of domain-specific modeling languages (DSMLs) to reduce the complexity associated with the development of complex software-intensive systems, as, for instance, found in the automation domain, production domain, and automotive domain. DSMLs are increasingly being developed to continuously leverage the domain-specific expertise of the various stakeholders involved in the development of complex system. Thereby, the integration of domain-specific knowledge into DSMLs can significantly improve the productivity of the development process and the quality of the final system. However, the development of DSMLs has also been recognized as a challenging and significant software engineering task itself. This project is maintained by jku-win-se.
StatusAbgeschlossen
Tatsächliches Beginn-/Enddatum01.03.201931.12.2022

Projektbeteiligte

Wissenschaftszweige

  • 502050 Wirtschaftsinformatik
  • 102 Informatik
  • 502032 Qualitätsmanagement
  • 102022 Softwareentwicklung
  • 102015 Informationssysteme
  • 102020 Medizinische Informatik
  • 102006 Computer Supported Cooperative Work (CSCW)
  • 102027 Web Engineering
  • 102040 Quantencomputing
  • 102016 IT-Sicherheit
  • 503015 Fachdidaktik Technische Wissenschaften
  • 509026 Digitalisierungsforschung
  • 102034 Cyber-Physical Systems
  • 211928 Systems Engineering

JKU-Schwerpunkte

  • Digital Transformation
  • Towards Interoperable Metamodeling Platforms: The Case of Bridging ADOxx and EMF

    Bork, D., Anagnostou, K. & Wimmer, M., Juni 2022, 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022, Leuven, Belgium, June 6-10, 2022. Franch, X., Poels, G., Gailly, F. & Snoeck, M. (Hrsg.). S. 479-497 19 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13295 LNCS).

    Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung