An Approach for Evaluating the Functional and Non-Functional Change Factors of Web Service using Finite State Machine

Today organizations in all industries particularly financial services, retail and communications are increasingly dependent upon IT and a highly available network to meet their business objectives. The necessity for change increases with the market demand and technology. Though there are many existing change management approaches to satisfy the normal changes, they fail to support the evaluation of dynamic changes within the business constraint based on both functional and nonfunctional behavior of the services undergone changes. Apart from this, there is no proper model that provides a legitimate manifest of the service quality parameters which are deviated from their threshold to the analyst. In order to provide a flexible environment for the Business Analyst to perform the emergency changes over the service business logic without the need of IT staff and also to evaluate changes made, we propose a Finite State Machine based evaluation methodology for web service change management. The key benefit of this approach is it primarily evaluates the functional change factors then concurrently it evaluates the non functional factors which are deviated from their threshold value. The set of quality centric change factors with their QoS measures are successfully evaluated through this approach within the expected reaction time.