EconPapers    
Economics at your fingertips  
 

Empirical assessment of the accuracy of an interoperability prediction language

Johan Ullberg () and Pontus Johnson ()
Additional contact information
Johan Ullberg: KTH Royal Institute of Technology
Pontus Johnson: KTH Royal Institute of Technology

Information Systems Frontiers, 2017, vol. 19, issue 4, No 10, 819-833

Abstract: 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.

Keywords: Interoperability; Architecture prediction; Modeling and description languages; Interoperability assessment (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10796-016-9630-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:19:y:2017:i:4:d:10.1007_s10796-016-9630-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-016-9630-5

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:infosf:v:19:y:2017:i:4:d:10.1007_s10796-016-9630-5