Automated service identification framework (ASIF)

Ali Taei Zadeh, Muriati Mukhtar, Shahnorbanun Sahran, Zahra Lotfi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)451-464
Number of pages14
JournalJournal of Theoretical and Applied Information Technology
Volume83
Issue number3
Publication statusPublished - 31 Jan 2016

Fingerprint

Industry
Service oriented architecture (SOA)
Automation
Service-oriented Architecture
Framework
Reusability
Alignment
Quality of service
Necessary
Cohesion
Quality Factor
Service Quality
Business Process
Quality of Service
Business
Refinement
Modeling

Keywords

  • AHP
  • Automated tool
  • BPMN
  • Business-IT alignment
  • KAOS
  • Service identification
  • SOA

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Automated service identification framework (ASIF). / Zadeh, Ali Taei; Mukhtar, Muriati; Sahran, Shahnorbanun; Lotfi, Zahra.

In: Journal of Theoretical and Applied Information Technology, Vol. 83, No. 3, 31.01.2016, p. 451-464.

Research output: Contribution to journalArticle

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