On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering

Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann

2015

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.

Paper Citation

in Harvard Style

Hennig C., Eisenmann H., Viehl A. and Bringmann O. (2015). On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering . In Proceedings of the 3rd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-083-3, pages 384-393. DOI: 10.5220/0005329003840393

in Bibtex Style

@conference{modelsward15,
author={Christian Hennig and Harald Eisenmann and Alexander Viehl and Oliver Bringmann},
title={On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering},
booktitle={Proceedings of the 3rd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2015},
pages={384-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005329003840393},
isbn={978-989-758-083-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering
SN - 978-989-758-083-3
AU - Hennig C.
AU - Eisenmann H.
AU - Viehl A.
AU - Bringmann O.
PY - 2015
SP - 384
EP - 393
DO - 10.5220/0005329003840393