Toward scaling model-based engineering for systems of systems

Laura Antul; Sean Ricks; Lance Mann Kyo Cho; Matt Cotter; Ryan B. Jacobs; Aleksandra Markina-Khusid; Janna Kamenetsky; Judith Dahmann; Huy T. Tran

doi:10.1109/AERO.2018.8396427

Toward scaling model-based engineering for systems of systems

Laura Antul, Sean Ricks, Lance Mann Kyo Cho, Matt Cotter, Ryan B. Jacobs, Aleksandra Markina-Khusid, Janna Kamenetsky, Judith Dahmann, Huy T. Tran

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes an effort to improve the scalability of traditional model-based engineering (MBE) techniques for systems of systems (SoS) applications. On the one hand, the complexity and scale of many SoS suggest that model-based approaches can be an important tool for SoS engineering. On the other hand, this complexity and scale challenges the application of current model based approaches. Our work aims to lower the barrier to entry for complex enterprise-level SoS, to identify areas for MBE capability improvements to facilitate scalability, and to explore how new MBE methodologies could enable domain experts with little to no software background to start designing executable system architectures via MBE tools and software plugins. In addition, we discuss preliminary efforts developing scalable, network-theoretic SoS analysis methods that could address the combinatorial explosion associated with the analysis of SoS architecture alternatives to inform SoS design and evolution.

Original language	English (US)
Title of host publication	2018 IEEE Aerospace Conference, AERO 2018
Publisher	IEEE Computer Society
Pages	1-9
Number of pages	9
ISBN (Electronic)	9781538620144
DOIs	https://doi.org/10.1109/AERO.2018.8396427
State	Published - Jun 25 2018
Externally published	Yes
Event	2018 IEEE Aerospace Conference, AERO 2018 - Big Sky, United States Duration: Mar 3 2018 → Mar 10 2018

Publication series

Name	IEEE Aerospace Conference Proceedings
Volume	2018-March
ISSN (Print)	1095-323X

Other

Other	2018 IEEE Aerospace Conference, AERO 2018
Country/Territory	United States
City	Big Sky
Period	3/3/18 → 3/10/18

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

Online availability

10.1109/AERO.2018.8396427

Library availability

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Cite this

Antul, L., Ricks, S., Cho, L. M. K., Cotter, M., Jacobs, R. B., Markina-Khusid, A., Kamenetsky, J., Dahmann, J., & Tran, H. T. (2018). Toward scaling model-based engineering for systems of systems. In 2018 IEEE Aerospace Conference, AERO 2018 (pp. 1-9). (IEEE Aerospace Conference Proceedings; Vol. 2018-March). IEEE Computer Society. https://doi.org/10.1109/AERO.2018.8396427

Antul, L, Ricks, S, Cho, LMK, Cotter, M, Jacobs, RB, Markina-Khusid, A, Kamenetsky, J, Dahmann, J & Tran, HT 2018, Toward scaling model-based engineering for systems of systems. in 2018 IEEE Aerospace Conference, AERO 2018. IEEE Aerospace Conference Proceedings, vol. 2018-March, IEEE Computer Society, pp. 1-9, 2018 IEEE Aerospace Conference, AERO 2018, Big Sky, United States, 3/3/18. https://doi.org/10.1109/AERO.2018.8396427

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abstract = "This paper describes an effort to improve the scalability of traditional model-based engineering (MBE) techniques for systems of systems (SoS) applications. On the one hand, the complexity and scale of many SoS suggest that model-based approaches can be an important tool for SoS engineering. On the other hand, this complexity and scale challenges the application of current model based approaches. Our work aims to lower the barrier to entry for complex enterprise-level SoS, to identify areas for MBE capability improvements to facilitate scalability, and to explore how new MBE methodologies could enable domain experts with little to no software background to start designing executable system architectures via MBE tools and software plugins. In addition, we discuss preliminary efforts developing scalable, network-theoretic SoS analysis methods that could address the combinatorial explosion associated with the analysis of SoS architecture alternatives to inform SoS design and evolution.",

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AB - This paper describes an effort to improve the scalability of traditional model-based engineering (MBE) techniques for systems of systems (SoS) applications. On the one hand, the complexity and scale of many SoS suggest that model-based approaches can be an important tool for SoS engineering. On the other hand, this complexity and scale challenges the application of current model based approaches. Our work aims to lower the barrier to entry for complex enterprise-level SoS, to identify areas for MBE capability improvements to facilitate scalability, and to explore how new MBE methodologies could enable domain experts with little to no software background to start designing executable system architectures via MBE tools and software plugins. In addition, we discuss preliminary efforts developing scalable, network-theoretic SoS analysis methods that could address the combinatorial explosion associated with the analysis of SoS architecture alternatives to inform SoS design and evolution.

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Toward scaling model-based engineering for systems of systems

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