Interoperability Maturity Models – Survey and Comparison –

  • Wided Guédria
  • Yannick Naudet
  • David Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5333)


Developing interoperability implies defining metrics to measure the degree of interoperability between systems. One of the measures is concerned with the use of maturity models, describing the stages through which systems should evolve to reach higher completeness in the realization of a given objective. This paper reviews the main maturity models that are or could be used for interoperability measure, comparing their different aspects in order to evaluate their relevance and coverage with respect to enterprise interoperability.


Interoperability measure maturity models assessment enterprise interoperability 


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  1. 1.
    Thomas, C., Ford, J.M., Colombi, S.R., Graham, D.R.: A Survey on Interoperability Measurement. In: 12th ICCRTS, Rhode Island (2007)Google Scholar
  2. 2.
    IEEE Standards Information Network. IEEE 100, The Authoritative Dictionary of IEEE Standards Terms, 7th edn. IEEE, New York (2000)Google Scholar
  3. 3.
    Naudet, Y., Latour, T., Chen, D.: A systemic approach to interoperability formalization. In: IFAC WC 2008, invited session on Semantic-Based Solutions for Enterprise Integration and Networking, Seoul, Korea (July 2008)Google Scholar
  4. 4.
    Panetto, H.: Towards a classification framework for interoperability of enterprise applications. International journal of Computer Integrated Manufacturing 20(8), 727–740 (2007)CrossRefGoogle Scholar
  5. 5.
    International Organization for Standardization and International Electrotechnical Commission, ISO/IEC 15504 Software Process Improvement and Capability DEtermination Model (SPICE) (2001)Google Scholar
  6. 6.
    C4ISR Interoperability Working Group, Levels of information systems interoperability (lisi), Tech. report, US Department of Defense, Washington, DC (1998)Google Scholar
  7. 7.
    Clark, T., Jones, R.: Organisational interoperability maturity model for c2. In: Proc. of the 1999 Command and Control Research and Technology Symposium, Whashington (1999)Google Scholar
  8. 8.
    Tolk, A., Muguira, J.A.: The levels of conceptual interoperability model. In: 2003 Fall Simulation Interoperability Workshop, USA (September 2003)Google Scholar
  9. 9.
    ATHENA. Advanced Technologies for Interoperability of Heterogeneous Enterprise Networks and their Applications, FP6-2002-IST1, Integrated Project Proposal (April 2003)Google Scholar
  10. 10.
    Guedria, W.: Decision-support for diagnosis of system’s interoperability. In: I-ESA 2008 Doctoral Symposium, 4th International Conference Interoperability for Enterprise Software and Applications, Berlin, Germany (2008)Google Scholar
  11. 11.
    Method Integrated Team.: Standard CMMI Appraisal Method for Process Improvement (SCAMPI), Version 1.1: Method Definition Document Members of the Assessment (2001)Google Scholar
  12. 12.
    COMPTIA. European Interoperability Framework, white paper, ICT Industry Recommendations; Brussels (2004)Google Scholar
  13. 13.
    INTEROP, Enterprise Interoperability -Framework and knowledge corpus- Final report, INTEROP NOE, FP6 -Contact n 508011, Deliverable DI.3 (May 2007)Google Scholar
  14. 14.
    ISO 14258 - Industrial Automation Systems – Concepts and Rules for Enterprise Models, ISO TC184/SC5/WG1 1999-April-14 version (1999).Google Scholar
  15. 15.
    Von Bertalanfy, L.: General System Theory: Foundations, Development, Applications. Georges Braziller, Inc., New York (1968)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Wided Guédria
    • 1
    • 2
  • Yannick Naudet
    • 1
  • David Chen
    • 2
  1. 1.CITIHenri Tudor Public Research CenterLuxemboug-KirchbergLuxembourg
  2. 2.IMS-LAPS/GRAIUniversity Bordeaux 1Talence cedexFrance

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