Authors:
Christian Hennig
1
;
Harald Eisenmann
2
;
Alexander Viehl
1
and
Oliver Bringmann
3
Affiliations:
1
FZI Research Center for Information Technology, Germany
;
2
Airbus Defence and Space, Germany
;
3
Eberhard-Karls-University of Tübingen, Germany
Keyword(s):
Systems Engineering, Model-based Systems Engineering, Conceptual Data Modeling, UML, Ecore, OWL, ORM.
Related
Ontology
Subjects/Areas/Topics:
Constraint Modeling and Languages
;
Domain-Specific Modeling and Domain-Specific Languages
;
Languages, Tools and Architectures
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Software Engineering
;
Syntax and Semantics of Modeling Languages
;
Systems Engineering
Abstract:
The engineering of complex systems is more and more supported through computer-based models that rely
on a comprehensive specification of their underlying data. This paper reflects on extensive industrial experience
with a sophisticated application of conceptual data modeling, addressing requirements as they arise in
the context of space systems engineering. For this purpose identified needs for conceptual data modeling in
the scope of Model-Based Systems Engineering are formulated. Established and evolving approaches and
technologies for building conceptual data models are characterized, analyzed, and discussed regarding their
suitability for modeling engineering data. Based on this analysis of the state of the art, recommendations for
the future evolution of conceptual data modeling are formulated.