• DocumentCode
    1810807
  • Title

    A Service Identification Framework for Legacy System Migration into SOA

  • Author

    Alahmari, Saad ; Zaluska, Ed ; De Roure, David

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. Southampton, Southampton, UK
  • fYear
    2010
  • fDate
    5-10 July 2010
  • Firstpage
    614
  • Lastpage
    617
  • Abstract
    Service-Oriented Architecture (SOA) enables the re-engineering and migration of legacy software systems into loosely-coupled and interoperable sets of services. Existing approaches focus mainly on defining coarse-grained services corresponding to the key business requirements. An improved migration of legacy systems onto SOA-based systems requires identifying the `optimal´ services with an appropriate level of granularity. This paper proposes a novel framework which identifies the key services effectively. The framework approach focuses on defining these services based on a Model-Driven Architecture approach supported by a SOA meta-model. Effective guidelines are proposed for identifying the optimal service granularity over a wide range of possible service types.
  • Keywords
    Web services; business process re-engineering; software architecture; SOA meta-model; SOA-based systems; business re-engineering; coarse-grained services; legacy software systems; legacy system migration; model-driven architecture approach; optimal service granularity; service identification framework; service-oriented architecture; Business; Conferences; Measurement; Object oriented modeling; Portfolios; Service oriented architecture; Unified modeling language; Architecture modeling; Legacy systems; SOA; Service computing; Service granularity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2010 IEEE International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-8147-7
  • Electronic_ISBN
    978-0-7695-4126-6
  • Type

    conf

  • DOI
    10.1109/SCC.2010.56
  • Filename
    5557285