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Identifying Quality Factors of Information Systems Integration Design
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2017 (Engelska)Ingår i: Perspectives in Business Informatics Research: 16th International Conference, BIR 2017, Copenhagen, Denmark, August 28–30, 2017, Proceedings / [ed] Björn Johansson, Charles Møller, Atanu Chaudhuri, Frantisek Sudzina, Springer, 2017, 45-60 s.Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The Information Systems (IS) community has long recognized the importance of studying quality at various stages of the IS design process. Many studies target the quality factors at various stages of design and development. However, research about the factors that specifically affect the quality of IS integration remains largely fragmented. Existing quality frameworks fail to cover integration-specific factors. This motivates the need for a holistic model of integration quality. The paper proposes two artefacts to address this need. It explores the literature of related domains, including systems, model, and process quality to elicit the quality factors that are relevant in the context of IS integration. The factors can be used to evaluate the quality of integration solutions during design and development. The paper also proposes a quality model to describe the quality of the design components of integration solutions following the principles of model-driven development. The model enables the quality factors to be associated with other parts of the IS integration design. The proposed factors are evaluated with the help of expert feedback using a questionnaire, and the quality model is demonstrated with an example business case.

Ort, förlag, år, upplaga, sidor
Springer, 2017. 45-60 s.
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 295
Nyckelord [en]
Information systems integration, Quality factors, Quality model, Meta-model
Nyckelord [sv]
informationssystem
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-146626DOI: 10.1007/978-3-319-64930-6_4ISBN: 978-3-319-64929-0 (tryckt)ISBN: 978-3-319-64930-6 (digital)OAI: oai:DiVA.org:su-146626DiVA: diva2:1138062
Konferens
16th International Conference, BIR 2017, Copenhagen, Denmark, August 28–30, 2017
Tillgänglig från: 2017-09-04 Skapad: 2017-09-04 Senast uppdaterad: 2017-09-04Bibliografiskt granskad

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Zikra, IyadStirna, JanisZdravkovic, Jelena
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Institutionen för data- och systemvetenskap
Systemvetenskap, informationssystem och informatik

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