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From Model Based Systems Engineering to Model Based System Realization: Role and Relevance of IVTV Plan

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 438)

Abstract

The IVTV Plan (Integration, Verification, Transition and Validation of the system before its Qualification) is developed and validated during the design stage. It details all the activities, resources, requirements, means, etc. requested during the realization stage so it is the hyphen between these two crucial stages in system life cycle. It is today necessary to help companies to better transfer detailed design models towards realization for many reasons discussed in this paper. Mainly, IVTV plan remains difficult to be exploited. This article proposes a first step towards a Model-Based Realization Plan, that is, a meta-model that represents the links between models that comes from Model-Based System Engineering and information required in the IVTV plan.

Keywords

System Engineering System Design System Realization Integration Verification Transition Validation Plan meta model 

References

  1. 1.
    ISO/IEC 2008, IEEE Standards 15288.2008 – Systems Engineering – System Life Cycle Processes, 2nd edn (February 2008)Google Scholar
  2. 2.
    INCOSE, System Engineering (SE) Handbook Working Group, System Engineering Handbook, A Guide For System Life Cycle Processes And Activities Version 3.2.1, INCOSE TP 2003 002 03.2 (2011)Google Scholar
  3. 3.
    DCIS, Découvrir et comprendre l’Ingénierie Système, Collection AFIS sous la direction de Serge Fiorèse, Jean-Pierre Meinadier, CEPADUES Editions, Avril (in French 2012) ISBN: 97802036493.005.6Google Scholar
  4. 4.
    Blanchard, B.S., Fabrycky, W.J.: Systems Engineering and Analysis, 5th edn. Prentice-Hall International series in Industrial and Systems Engineering. Prentice-Hall, Englewood Cliffs (2011)Google Scholar
  5. 5.
    Faisandier, A.: Systems Architecture and Design. Sinergy’Com, Belberaud (2012)Google Scholar
  6. 6.
    INCOSE, Survey of Model-Based Systems Engineering (MBSE) Methodologies, Model Based Systems Engineering (MBSE) Initiative from International Council on Systems Engineering (INCOSE) (10 June 2008)Google Scholar
  7. 7.
    CORE V6.0, Vitech corporation (2010), http://www.vitechcorp.com/products/index.html
  8. 8.
    Braspenning, N.C., van de Mortel-Fronczak, J.M., Rooda, J.E.: A Model-based Integration and Testing Method to Reduce System Development Effort. Electronic Notes in Theoretical Computer Science 164(4), 13–28 (2006)CrossRefGoogle Scholar
  9. 9.
    Luna, S., Lopes, A., See, Y., Tao, H., Zapata, F., Pineda, R.: Integration, Verification, Validation, Test, and Evaluation (IVVT&E) Framework for System of Systems (SoS). Procedia Computer Science 20, 298–305 (2013)CrossRefGoogle Scholar
  10. 10.
    van Ruijven, L.C.: Ontology for Systems Engineering. Procedia Computer Science 16, 383–392 (2013)CrossRefGoogle Scholar
  11. 11.
    BKCASE Project, System Engineering Book of Knowledge, SEBoK v1.2 (2013), http://www.sebokwiki.org/ (last visit 2013-04)
  12. 12.
    OMG, Software & Systems Process Engineering Meta-Model Specification, V2.0 (2008)Google Scholar
  13. 13.
    MADS MOSAR, Gestion des risques: Méthode MADS-MOSAR II Manuel de mise en oeuvre, Pierre Périlhon (2007) (in French)Google Scholar
  14. 14.
    Forsberg, K., Mooz, H., Cotterman, H.: Visualizing Project Management. In: Hoboken, N.J. (ed.), 3rd edn., J. Wiley & Sons (2005)Google Scholar
  15. 15.
    Project Management Institute, A Guide to the Project Management Body of Knowledge (PMBOK® Guide ), 5th edn (2013) ISBN13: 9781935589679Google Scholar
  16. 16.
    Combemale, B., Cregut, X., Garoche, P.-L., Thirioux, X., Vernadat, F.: A Property-Driven Approach to Formal Verification of Process Models. In: Enterprise Information Systems, vol. 12, pp. 286–300. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  17. 17.
    Chapurlat, V.: UPSL-SE: A model verification framework for Systems Engineering. Comput. Ind. 64(5), 581–597 (2013)CrossRefGoogle Scholar
  18. 18.
    Schamai, W., Fritzson, P., Paredis, C., Po, A.: Towards Unified System Modeling and Simulation with ModelicaML: Modeling of Executable Behavior Using Graphical Notations. In: Proceedings 7th Modelica Conference, Como, Italy, September 20-22 (2009)Google Scholar
  19. 19.
    System Modelling Language SysML (2010), http://www.sysml.org/
  20. 20.
    MODELICA - A Unified Object-Oriented Language for Physical Systems Modeling Language Specification Version 3.2 (see ) (March 24, 2010), http://www.modelica.org/

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  1. 1.Ecole des Mines d’Alès - LGI2P - Parc Scientifique G. BesseNîmes Cedex 1France
  2. 2.ENSGSINancy CedexFrance

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