Abstract | ||
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In this paper, we study legacy asset reuse for SOA design. Typically, the cost of reusing legacy assets is much lower than the cost of creating new services from scratch. As an extension of our SOA service modeling, we use top-down approaches to identify business services, and use asset modeling for legacy asset identification to find potential reusable assets for those services. Using service capacity analysis, we evaluate the maturity of a legacy asset for transformation to a service. Finally, we provide a model transformation to convert a service model with legacy assets into an SOA reference architecture model. Our effort integrates asset reuse as a part of the overall SOA design cycle and increases the possibility of asset reuse. To help architects use our method in engineering practice, we have implemented our method in the SOMA-ME tooling environment. |
Year | DOI | Venue |
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2010 | 10.1109/SCC.2010.39 | IEEE SCC |
Keywords | Field | DocType |
model-driven soa solution,soa design,use asset modeling,service capability analysis,model driven soa solution,legacy asset reuse,asset reuse,soa reference architecture model,soma-me tooling environment,software maintenance,business services,soa reference architecture,legacy asset analysis,software architecture,potential reusable asset,legacy asset repository,software reusability,business data processing,legacy asset identification,legacy asset,reusing legacy asset,service-oriented architectures (soa),web services,soa service modeling,reference architecture,top down,web service,unified modeling language,computer architecture,service model,business,service oriented architecture,architecture | Model transformation,Service (economics),Software engineering,Reuse,Computer science,OASIS SOA Reference Model,Reference architecture,Web service,IT asset management,Service-oriented architecture | Conference |
ISBN | Citations | PageRank |
978-0-7695-4126-6 | 9 | 0.52 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nianjun Zhou | 1 | 173 | 18.27 |
Liang-Jie Zhang | 2 | 982 | 138.17 |
Yi-min Chee | 3 | 129 | 14.15 |
Lei Chen | 4 | 6239 | 395.84 |