Projekt: Model Centered Architecture

Stammdaten
Model Centered Architecture
Beschreibung:

Models are the fundamental human instruments for managing complexity and understanding. As such they play a key role in any scientific and engineering discipline as well as in everyday life.

The main idea of MCA (Model Centered Architecture) is to understand software and information system development processes as mere modeling processes: we focus on models and their meta-models (MMs) in any development step up to the running system. We take models not only as representatives of underlying originals but to use them as the core of a system for both the addressed application functionality and the flexible definition of any kind of  system interfaces.

By MCA we aim at contributing perspectives on the power of conceptual modeling. We do not introduce a completely new technology but a kind of add-on to the MDA/MDSD (Model Driven Architecture / Model Driven Software Development) and the models@runtime methodology.

MCA is based

  • on models, their related universal or domain specific meta-models, and the modeling languages defined in connection with  these meta-models,
  • as well as on mechanisms for the transformation of models into other representations.
Schlagworte: Conceptual Model, Meta-Model, Architecture, Information System
Kurztitel: MCA
Zeitraum: 01.01.2017 - 31.12.2019
Kontakt-Email: heinrich.mayr@aau.at
Homepage: https://ae-ainf.aau.at/mca-1/

MitarbeiterInnen
MitarbeiterInnen Funktion Zeitraum
Heinrich C. Mayr
Heinrich.Mayr@aau.at
Forschungsaktivitäten
zur Visitenkarte
(intern)
  • Projektleiter/in
  • 01.01.2017 - 31.12.2019

Zuordnung
Organisationseinheit
Fakultät für Technische Wissenschaften
  Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
zur Organisation

Kategorisierung
Projekttyp laufender Arbeitsschwerpunkt
Förderungstyp Sonstiger
Forschungstyp
  • Angewandte Forschung
  • Grundlagenforschung
  • Experimentelle Entwicklung
Sachgebiete
  • 102 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Professionals (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Application Engineering

Finanzierung
Keine Förderprogramme vorhanden

Kooperationen
Keine Partnerorganisation ausgewählt