Authors:
Christian Hennig
1
;
Harald Eisenmann
1
;
Alexander Viehl
2
and
Oliver Bringmann
3
Affiliations:
1
Airbus Defence and Space, Germany
;
2
FZI Research Center for Information Technology, Germany
;
3
Eberhard-Karls-University of Tübingen, Germany
Keyword(s):
Model-based Systems Engineering, Conceptual Data Modeling, Modeling Methodology, FBM, Model-based Development.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
Constraint Modeling and Languages
;
Domain-Specific Modeling and Domain-Specific Languages
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Languages, Tools and Architectures
;
MetaModeling
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Models
;
Paradigm Trends
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
Abstract:
This paper presents a novel methodology for deriving Conceptual Data Models in the scope of Model-based Systems Engineering. Based on an assessment of currently employed methodologies, substantial limitations of the state of the art are identified. Consequently, a new methodology, overcoming present shortcomings, is elaborated, containing detailed and prescriptive guidelines for deriving conceptual data models used for representing engineering data in a multi-disciplinary design process. For highlighting the applicability and benefits of the approach, the derivation of a semantically strong conceptual data model in the context of Model-based Space Systems Engineering is presented as a case study.