Service identification represents the first phase in service modelling, a necessary step in SOA. This research study reviewed and analyzed the issues related to automation issues of service identification. However, the importance of service identification methods' (SIM) automation and their business alignment are emphasized in literature, reviewing existing service identification methods (SIMs) reveals the lack of business alignment, automation as challenging issues. We close the gap by proposing ASIF which relies on automating the SIMs' steps to identify business aligned services based on business processes and business goals.
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.
Abstract-Implementing SOA in big enterprises are subjected to serious challenges such as a lack of comprehensive service governance road map and appropriate service identification method however the overall number of successes in service oriented solutions is increasing. Small medium enterprises (SME) on the other hand have specific challenges and problems that is peculiar to their nature. They have encountered serious problems in service modeling. Lack of researches in Service Identification is one of the first problem that an SME encounters when starting a SOA migration. Although a number of service identification methods have been proposed but they did not consider the SME challenges in those methods. Also the majority of those methods only considered the management point of view without considering a deep technical view. To fill this gap, this paper review existing service identification methods and proposes an improved method for identification of services based on SMEs specification and challenges.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.