Paper Info
Title
On languages for conceptual data modeling in multi-disciplinary space 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.
Year
Venue
Keywords
2015
MODELSWARD
Systems Engineering,Model-based Systems Engineering,Conceptual Data Modeling,UML,Ecore,OWL,ORM
Field
DocType
Citations 
Data modeling,System of systems engineering,Systems engineering,Conceptual model,Computer science,Model-based systems engineering,IDEF1X,Data model,Conceptual model (computer science),Domain model
Conference
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Christian Hennig121.07
Harald Eisenmann200.34
Alexander Viehl318125.01
Oliver Bringmann458671.36