Service identification for business process management.

Abstract

Over the years Service Oriented Architecture (SOA) has gained momentum and is becoming the standard for providing systematic business solutions. Likewise, the requirements for identifying business services are fast changing and a solution to the service identification problem needs a robust approach. It is known that this task of identifying candidate services is the first and the most important step in developing service-oriented business systems. The recent approaches of identifying candidate services have some shortcomings (defined data type size, unrepeatable approach, inapplicable to all enterprise information system and unadaptable to business factor change). Some approaches focus on fixed cases or certain types of organizations (single or collaborating organizations) neglecting the enterprise systems which are either (open or closed) single or collaborating enterprise information system, which makes some past approaches not applicable to some real-life business cases. This thesis focuses on solving the headline issues and introduces a new approach for service identification applicable to different organization’s business processes. The thesis also proposes a new step-by-step algorithm and methodology that identify business services derived from data-set from any given business case.