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Research On A Quantitative Soa Service Extraction Method Based On Business Capability Model

Posted on:2011-07-12Degree:MasterType:Thesis
Country:ChinaCandidate:J J YangFull Text:PDF
GTID:2178360308950914Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
SOA is now in widespread use by industry and has become a hottest topic in research field. It is important to identify the architectural elements with the right granularity when constructing a quality service-oriented solution. The selection of an appropriate method for identification of services from business models is the key factor to the success of any service-oriented solution of the enterprise.Since the business processes tend to change frequently the resultant SOA becomes unstable. Due to the instability of BPM leading to the instability of services, a more stable model, BCM (business capability map), is selected as the foundation of the service extraction. The improvement of BCM is based upon the consideration that business capability should be visual and easy to be quantified. The paper use a modeling tool based on Domain Specific Language (DSL) to improve the BCM model.Considering the existing research result, the paper proposes a series of service extraction steps and service identification rules and a new process for identification of enterprise software services, identifying the business requirement, setting up an improved BCM model by Domain Specific Language (DSL) and then extracting services by quantitative analysis to generate the service model. An extraction tool relevant to the process has been implemented.In the end of the paper, a case study of a logistic system in an enterprise is used to prove this service extraction method is a practical and feasible way to identify the services.
Keywords/Search Tags:Business Capability, SOA, Semi-clustering, DSL, Motion project
PDF Full Text Request
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