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Service-oriented system evolution taxonomy and metrics derived from complex adaptive systems theory

Service-oriented system evolution taxonomy and metrics derived from complex adaptive systems theory Service-oriented architecture (SOA) is designed to enable integration of heterogeneous business components, and thus is argued to improve enterprise evolution and agility. In order to identify service-oriented system evolution taxonomy, it is suggested to build on complex adaptive systems (CAS) theory that interprets phenomenon of evolution and emergence of new properties. This required a survey of service-oriented system design and development techniques and principles, and their mapping to CAS evolutionary principles. Based on this analysis, the paper identifies four major categories of service-oriented system evolution This led to deriving a process model utilising these four categories to enable service-oriented system evolution. Metrics are suggested to benchmark system structural properties and controlling factors, including SOA flexibility, SOA quality attributes and SOA governance to ensure sustainable evolution and avoiding disordered results in response to change. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Web Engineering and Technology Inderscience Publishers

Service-oriented system evolution taxonomy and metrics derived from complex adaptive systems theory

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1476-1289
eISSN
1741-9212
DOI
10.1504/IJWET.2011.043438
Publisher site
See Article on Publisher Site

Abstract

Service-oriented architecture (SOA) is designed to enable integration of heterogeneous business components, and thus is argued to improve enterprise evolution and agility. In order to identify service-oriented system evolution taxonomy, it is suggested to build on complex adaptive systems (CAS) theory that interprets phenomenon of evolution and emergence of new properties. This required a survey of service-oriented system design and development techniques and principles, and their mapping to CAS evolutionary principles. Based on this analysis, the paper identifies four major categories of service-oriented system evolution This led to deriving a process model utilising these four categories to enable service-oriented system evolution. Metrics are suggested to benchmark system structural properties and controlling factors, including SOA flexibility, SOA quality attributes and SOA governance to ensure sustainable evolution and avoiding disordered results in response to change.

Journal

International Journal of Web Engineering and TechnologyInderscience Publishers

Published: Jan 1, 2011

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