Evaluation of Change Factors for Web Service Change Management

Abstract

Service oriented architecture (SOA) is a smart designing principle which has been evolved for integrating business tasks. Business activities that have to be designed based on SOA are implemented via web services. Using web services (WS) one can exchange data between different applications and different platforms. Service providers register their services in the service registry and consumer obtains the required services from the same. The main concern in this routine which directly sways business growth rate is change management. Change management is an emerging issue in web service computing where clients might want to change the obtained services at some period of time. But in order to do it they should be requesting the provider programmers each and every time and separate payment has to be done for that task. In order to reduce this complexity we propose a new model for implementing change requests by business analysts themselves. Here we propose a new dynamic schema driven business logic model using Finite State Machine (FSM) to accomplish WS change management in a best manner so that business growth rate can be increased. This model is distinctively done for business analysts to perform changes in the services on their own instead of depending on the programmers. Furthermore a predictive model is contrived using cellular automata for supporting business analysts. The predictive model includes the change factors like order of execution; similarity measure, schema validation, and mapping function and time/space complexity which appears when a particular change request is executed.