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Model Driven Service Domain Analysis

Stephan Aier & Marten Schoenherr

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Currently scientists and practitioners are discussing Service Oriented Architectures (SOA) as an approach to reconcile business requirements and IT. The alignment of business and technology in organizations is a key challenge in the discipline of Enterprise Architecture (EA). Therefore the contribution starts with a discussion of SOA as an EA integration concept to synchronize business requirements and IT architecture in an efficient way. Differentiating methodological and technological aspects of EA the paper shows the need for methods in the field of domain analysis supporting the design of a SOA. The main contribution of the paper is an algorithm based modeling tool and methodology to support service domain clustering. Service clusters are being used for service definition and management. Due to enormous complexity it is necessary to supportarchitects by finding and defining appropriate clusters. For modeling interdependencies in EA the paper’s focus is on business processes, information systems and interfaces. Our approach adopts network-centric algorithms used in the field of social network analysis to define and/or identify service domain clusters in complex scenarios. Edge remover algorithm is used to compute the relevant model aspects. The results of our approach will be demonstrated in a case study.
   
type conference paper (English)
   
name of conference 4th International Conference on Service Oriented Computing (Chicago, USA)
date of conference 01-01-2006
title of proceedings Preproceedings of Service Oriented Modeling, 1st International Workshop on Service Oriented Modeling
page(s) 98-109
volume / edition 5
publisher Gito (Berlin)
ISBN 3-936771-820
review double-blind review
   
citation Aier, S., & Schoenherr, M. (2006). Model Driven Service Domain Analysis. In Schoenherr, M., & Ahrens, M. (Eds.), Preproceedings of Service Oriented Modeling, 1st International Workshop on Service Oriented Modeling, 5, pp.98-109. Berlin: Gito. - ISBN 3-936771-820.