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  • 标题:AUTOMATED SERVICE IDENTIFICATION FRAMEWORK (ASIF)
  • 本地全文:下载
  • 作者:ALI TAEI ZADEH ; MURIATI MUKHTAR ; SHAHNORBANUN SAHRAN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:83
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Service oriented architecture (SOA) has been used to achieve business-IT alignment in industries for recent years. Service identification represents the first phase in service modeling, a necessary step in SOA. Reviewing existing service identification methods (SIMs) reveals the lack of business alignment, automation, and quality of services as challenging issues. Hence, the main aim of this research is to propose a service identification framework (ASIF) that results in the automated identification of business aligned services which satisfy service quality factors such as cohesion, coupling and reusability. ASIF relies on business aligned entities based on business processes and business goals as unique sources of inputs to guarantee delivery of business aligned services. The proposed ASIF will serve as a comprehensive guideline for service identification that spans from scope determination to refinement of service candidates. In order to achieve this goal, it is necessary to firstly identify and select suitable SIM input types and secondly, to determine appropriate techniques to extract services automatically. Subsequently, the proposed framework is then validated and finally an ASIF tool to support automation is developed.
  • 关键词:SOA; service identification; AHP; Business-IT alignment; automated tool; BPMN; KAOS
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