DOI : https://doi.org/10.18517/ijaseit.6.6.1481

Automated Service Identification Methods: A Review

Ali Taei Zadeh (1), Shahnorbanun Sahran (2), Muriati Mukhtar (3)
(1) Department of Industrial Computing, UKM, Kuala lumpur, Malaysia
(2) Department of Industrial Computing, UKM, Kuala lumpur, Malaysia
(3) Department of Industrial Computing, UKM, Kuala lumpur, Malaysia
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How to cite (IJASEIT) :
Zadeh, Ali Taei, et al. “Automated Service Identification Methods: A Review”. International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 6, Dec. 2016, pp. 1053-9, doi:10.18517/ijaseit.6.6.1481.
Citation Format :
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.

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