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Empirical assessment of the accuracy of an interoperability prediction language

Author

Listed:
  • Johan Ullberg

    (KTH Royal Institute of Technology)

  • Pontus Johnson

    (KTH Royal Institute of Technology)

Abstract

Interoperability, defined as the satisfaction of a communication need between two or more actors, is an important aspect in many phases of an enterprise’s development. Mastering the field of interoperability is a daunting task so aid in predicting interoperability can be of great benefit. Formalisms capable of such predictions of future information system architectures are however sparse, and when employed, it is essential that the prediction is accurate. In this paper, a previously proposed interoperability modelling and prediction language is subjected to case testing and evaluated toward interoperability predictions made by practitioners and experts in the field. The results show that although there are some areas not currently covered by the framework, in general, it performs better than the intended users, and would thereby provide additional support in various development and design contexts.

Suggested Citation

  • Johan Ullberg & Pontus Johnson, 2017. "Empirical assessment of the accuracy of an interoperability prediction language," Information Systems Frontiers, Springer, vol. 19(4), pages 819-833, August.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:4:d:10.1007_s10796-016-9630-5
    DOI: 10.1007/s10796-016-9630-5
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    References listed on IDEAS

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    1. Juan M. Alberola & Vicent Botti & Jose M. Such, 2014. "Advances in infrastructures and tools for multiagent systems," Information Systems Frontiers, Springer, vol. 16(2), pages 163-167, April.
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