A Systematic Input Selection for Service Identification in SMEs | Zendy

Ali Taei Zadeh | Zendy; Muriati Mukhtar | Zendy; Shahnorbanun Sahran | Zendy; Mahmood Reza Khabbazi | Zendy

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A Systematic Input Selection for Service Identification in SMEs

Author(s) -

Ali Taei Zadeh,

Muriati Mukhtar,

Shahnorbanun Sahran,

Mahmood Reza Khabbazi

Publication year - 2012

Publication title -

journal of applied sciences

Language(s) - English

Resource type - Journals

eISSN - 1812-5662

pISSN - 1812-5654

DOI - 10.3923/jas.2012.1232.1244

Subject(s) - identification (biology) , selection (genetic algorithm) , business , service (business) , computer science , process management , marketing , artificial intelligence , biology , botany

Service-oriented Architecture (SOA) as an ideal architecture to support today’s business challenges such as agility and flexibility acts like a bridge between IT and business domains. There are intensified SOA applications at large enterprises. However, small and medium enterprises cannot obtain SOA benefits due to the lack of compatible solutions of SOA implementation challenges. Service identification is the first step in service modeling that extracts services as building blocks of SOA. Determining suitable inputs for SME service identification based on their conditions is a key factor for developing related identification method. This paper proposes SME based criteria to evaluate current inputs of service identification. To assess the inputs that are collected from variety of sources a mapping process between enterprise goals and collected inputs is presented.

QC 20150714

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