Abstract
Model-based systems engineering (MBSE) has become a new trend in systems engineering. The core of MBSE is the use of models to formalize product development and the product itself (requirement, architecture, etc.) using different languages throughout the entire lifecycle. However, different tools based on different modeling languages in each development phase lead to considerable deviations during information sharing between the models. In this paper, a GOPPRR approach is proposed to describe system characteristics and system development based on meta-models for different architecture descriptions using meta-meta models including Graph, Object, Point, Property, Role, and Relationship. Moreover, ontology based on W3C Web Ontology Language (OWL) is designed to support the GOPPRR approach for unified model representations and further to implement model integration in the entire lifecycle. Finally, the feasibility of the GOPPRR approach and the ontology formalism supporting MBSE is verified through an auto-braking case of an autonomous driving system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
A tool developed by http://www.zkhoneycomb.com/.
References
Aßmann, U., Zschaler, S., Wagner, G.: Ontologies, meta-models, and the model-driven paradigm. In: Ontologies for Software Engineering and Software Technology, Springer, pp. 249–273 (2006)
INCOSE: A world in motion: systems engineering vision 2025. International Council on Systems Engineering, San Diego, CA, USA (2014)
Torre, D., Labiche, Y., Genero, M., Elaasar, M.: A systematic identification of consistency rules for UML diagrams. J. Syst. Softw. 144(June), 121–142 (2018)
Silva, R.F., Gimenes, I.M.S., Oquendo, F., Fragal, V.: SyMPLES - a SysML-based approach for developing embedded systems software product lines, pp. 257–264 (2013)
Chinosi, M., Trombetta, A.: BPMN: an introduction to the standard. Comput. Stand. Interfaces 34(1), 124–134 (2012)
Lee, E.A., Tripakis, S., Törngren, M.: Viewpoints, formalisms, languages, and tools for cyber-physical systems, vol. 931843, no. 212 (2011)
Bapty, T., Neema, S., Sztipanovits, J.: Meta II: Multi-model language suite for cyber physical systems (2013)
Kelly, S., Tolvanen, J.P.: Domain-Specific Modeling: Enabling Full Code Generation. IEEE Xplore (2008)
Walker, J.D., et al.: Survivability modeling in DARPA’s adaptive vehicle make (AVM) program. In: Proceedings of the 27th International Symposium on Ballistics, Freiburg, Germany (2013)
Huang, E., Ramamurthy, R., Mcginnis, L.F.: System and simulation modelling using SYSML. In: Henderson, S.G., Biller, B., Hsieh, M.-H., Shortle, J., Tew, J.D., Barton, R.R. (eds.) Proceedings of the 2007 Winter Simulation Conference, pp. 796–803 (2007)
Dinar, M., Rosen, D.W.: A design for additive manufacturing ontology. In: Volume 1B: 36th Computers and Information in Engineering Conference, vol. 17, no. June 2017, p. V01BT02A032 (2016)
van Ruijven, L.C.: Ontology for systems engineering. Procedia Comput. Sci. 16, 383–392 (2013)
Walter, T., Parreiras, F.S., Staab, S.: An ontology-based framework for domain-specific modeling. Softw. Syst. Model. 13(1), 83–108 (2014)
Panov, P., Soldatova, L.N., Džeroski, S.: Generic ontology of datatypes. Inf. Sci. (Ny) 329(October), 900–920 (2016)
Kelly, S., Lyytinen, K., Rossi, M.: Metaedit+ a fully configurable multi-user and multi-tool case and came environment, vol. 1080. Springer, Heidelberg (1996)
Musen, M.A., Stevens, R.D.: The protege OWL experience. In: Proceedings of the OWLED, Workshop on OWL: Experiences and Directions, no. January (2005)
Jinzhi, L.: A model-driven and tool-integration framework for whole vehicle co-simulation environments. In: 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016) (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, H., Wang, G., Lu, J., Ma, C. (2019). Ontology Supporting Model-Based Systems Engineering Based on a GOPPRR Approach. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-16181-1_40
Download citation
DOI: https://doi.org/10.1007/978-3-030-16181-1_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16180-4
Online ISBN: 978-3-030-16181-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)