Skip to main content

A MBSE-Based Development Life Cycle for Reconnaissance, Early-Warning, and Intelligence Equipment System-Of-Systems

  • Conference paper
  • First Online:
Complex Systems Design & Management
  • 1084 Accesses

Abstract

In this paper, we propose a MBSE-based Development Life Cycle (MDLC) for Reconnaissance, Early-warning, and Intelligence Equipment System-of-Systems (REIESoS). We exploit model-based systems engineering technologies to refine the traditional V model, taking into account the characteristics of the joint REIESoS as well as the complexity of the System of Systems. Also, we introduce both the process method of the scheme design and the requirement of the scheme-design model for the MBSE-based REIESoS. In particular, we present the architecture design and analysis in the above process method. Our proposed MDLC for REIESoS provides the model-based construction, analysis, optimization, and verification at each stage of the development life cycle, allowing us to reduce the risk of the repeated design or development and thus improving the efficiency of the entire development process significantly.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jamshidi, M.: System-of-systems engineering—a definition. IEEE SMC 2005, 10–12 (2005)

    Google Scholar 

  2. Northrop, L.: Ultra-Large-Scale Systems, The Software Challenge of the Future, Software Engineering Institute, Carnegie Mellon University, June 2006

    Google Scholar 

  3. LSCITS—Large-Scale Complex IT Systems—An EPSRC Funded Program (2007)

    Google Scholar 

  4. Sommerville, I.: Software Engineering: Challenges for the 21st Century, ICCBSS 2008, Madrid

    Google Scholar 

  5. International Council on Systems Engineering, INCOSE Systems Engineering Handbook, v.3.2, Seattle, WA, USA (2010)

    Google Scholar 

  6. Mazeika, D., Morkevicius, A., Aleksandraviciene, A.: MBSE driven approach for defining problem domain. In: 2016 11th System of Systems Engineering Conference (SoSE) (2016)

    Google Scholar 

  7. Estefan, J.A.: Survey of Model-Based Systems Engineering (MBSE) Methodologies. In: INCOSE MBSE Initiative, May 23, 2008

    Google Scholar 

  8. Morkevicius, A., Bisikirskiene, L., Jankevicius, N.: We choose MBSE: what’s next? Proc. Sixth Int. Conf. Complex Syst. Des. Manage. CSD&M 2015, 331–335 (2015)

    Google Scholar 

  9. Pearce, P., Hause, M.: ISO-15288, OOSEM and Model-Based Submarine Design (2008)

    Google Scholar 

  10. Department of Defence: DoD Architecture Framework Version 2.0 Volume 2: Architectural Data and Models Architect’s Guide (2009)

    Google Scholar 

  11. Goknila, A., Kurtevb, I., Bergc, K.V.D.: Generation and validation of traces between requirements and architecture based on formal trace semantics. J. Syst. Softw. 88, February 2014

    Google Scholar 

  12. Sergent, T.L., Guennec, A.L.: Data-based system engineering: ICDs management with SysML. ERTS2 (2014)

    Google Scholar 

  13. Gregory, J., Berthoud, L., Tryfonas, T., Prezzavento, A., et al.: Investigating the flexibility of the MBSE approach to the biomass mission. IEEE Trans. Syst. Man Cybern.: Syst. 1–9 (2020)

    Google Scholar 

  14. London, B., Miotto, P.: Model-based requirement generation. In: Proc. IEEE Aerosp. Conf., pp. 1–8 (2014)

    Google Scholar 

  15. Spangelo, S.C., et al.: Model based systems engineering (MBSE) applied to radio aurora explorer (RAX) CubeSat mission operational scenarios. In: Proc. IEEE Aerosp. Conf., pp. 1–18 (2013)

    Google Scholar 

  16. INCOSE: Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, version 4.0. Hoboken, NJ, USA: John Wiley and Sons, Inc, ISBN: 978-1-118-99940-0 (2015)

    Google Scholar 

  17. Lindblad, L.: Data-driven systems engineering: turning MBSE into industrial reality. In: Proc. Int. Syst. Concurrent Eng. Space Appl. Workshop (SECESA), Glasgow, UK (2018)

    Google Scholar 

  18. Mordecai, Y., Orhof, O., Dori, D.: Model-based interoperability engineering in systems-of-systems and civil aviation. IEEE Trans. Syst. Man Cybern. Syst. 48(4), 637–648 (2018)

    Google Scholar 

  19. Wibben, D.R., Furfaro, R.: Model-based systems engineering approach for the development of the science processing and operations center of the NASA OSIRIS-REx asteroid sample return mission. Acta Astronaut. 115, 147–159 (2015)

    Article  Google Scholar 

  20. Gough, K.M., Phojanamongkolkij, N.: Employing model-based systems engineering (MBSE) on a NASA aeronautics research project: a case study. In: Proc. Aviation Technol. Integr. Oper. Conf., Atlanta, GA, USA, pp. 3361–3374 (2018)

    Google Scholar 

  21. Cloutier, R., Sauser, B., Bone, M., Taylor, A.: Transitioning systems thinking to model-based systems engineering: Systemigrams to SysML models. In: IEEE Trans. Syst. Man, Cybern. Syst., vol. 45, no. 4, pp. 662–674 (2015)

    Google Scholar 

  22. Kaslow, D.: Developing a CubeSat MBSE reference model—Interim status #3. In: Proc. IEEE Aerosp. Conf., pp. 1–16 (2017)

    Google Scholar 

  23. Munk, P., Nordmann, A.: Model-based safety assessment with SysML and component fault trees: application and lessons learned. In: Software and Systems Modeling. Springer, Berlin (2020)

    Google Scholar 

  24. Adler, R., Domis, D., Höfig, K., Kemmann, S., Kuhn, T., Schwinn, J.P., Trapp, M.: Integration of component fault trees into the UML. In: Dingel, J., Solberg, A. (eds.) Models in Software Engineering, pp. 312–327. Springer, New York (2011)

    Chapter  Google Scholar 

  25. Clegg, K., Li, M., Stamp, D., Grigg, A., McDermid, J.: A SysML profile for fault trees—linking safety models to system design. In: Romanovsky, A., Troubitsyna, E., Bitsch, F. (eds.) Computer Safety, Reliability, and Security, pp. 85–93. Springer, New York (2019)

    Chapter  Google Scholar 

Download references

Acknowledgements

The author would like to thank the anonymous reviewers for their invaluable suggestions which have been incorporated to improve the quality of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weiwei Zheng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zheng, W., Shen, Y., Xiao, T., Kong, R. (2021). A MBSE-Based Development Life Cycle for Reconnaissance, Early-Warning, and Intelligence Equipment System-Of-Systems. In: Krob, D., Li, L., Yao, J., Zhang, H., Zhang, X. (eds) Complex Systems Design & Management . Springer, Cham. https://doi.org/10.1007/978-3-030-73539-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-73539-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73538-8

  • Online ISBN: 978-3-030-73539-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics