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Empirical assessment of the accuracy of an interoperability prediction language
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Electric power and energy systems.
2016 (English)In: Information Systems Frontiers, ISSN 1387-3326, E-ISSN 1572-9419, 1-15 p.Article in journal (Refereed) PublishedText
Abstract [en]

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.

Place, publisher, year, edition, pages
2016. 1-15 p.
Keyword [en]
Architecture prediction, Interoperability, Interoperability assessment, Modeling and description languages, Computational linguistics, Forecasting, Modeling languages, Description languages, Design context, Empirical assessment, Future information systems, Interoperability predictions, Modelling and predictions
National Category
Computer Science
URN: urn:nbn:se:kth:diva-188290DOI: 10.1007/s10796-016-9630-5ScopusID: 2-s2.0-84957576411OAI: diva2:935479

QC 20160610

Available from: 2016-06-10 Created: 2016-06-09 Last updated: 2016-06-10Bibliographically approved

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