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Narman P.,Industrial Information and Control Systems | Narman P.,KTH Royal Institute of Technology | Holm H.,Industrial Information and Control Systems | Holm H.,KTH Royal Institute of Technology | And 4 more authors.
Journal of Strategic Information Systems | Year: 2013

Insights into service response time is important for service-oriented architectures and service management. However, directly measuring the service response time is not always feasible or can be very costly. This paper extends an analytical modeling method which uses enterprise architecture modeling to support the analysis. The extensions consist of (i) a formalization using the Hybrid Probabilistic Relational Model formalism, (ii) an implementation in an analysis tool for enterprise architecture and (iii) a data collection approach using expert assessments collected via interviews and questionnaires. The accuracy and cost effectiveness of the method was tested empirically by comparing it with direct performance measurements of five services of a geographical information system at a Swedish utility company. The tests indicate that the proposed method can be a viable option for rapid service response time estimates when a moderate accuracy within 15% is sufficient. © 2012 Elsevier B.V. All rights reserved.

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