An Evaluation of Business Rule Mining Architecture for E-Business Applications

Abstract

Most of the E-business applications have been developed using the standard business logic model which often failed to accommodate the new changes according to the ever changing business scenario. The end-users who are the best evaluators of Ebusiness systems mostly depend on the QoS parameters but when it comes to the administration of the business organization the functional requirements are the one which play a major role. In order to bridge the gap between the business experts and application developer, a standard business rule mining system is needed which also has a target of managing the reconfigurable business logic with respect to the dynamic decision made by the business experts. The architecture allows the business analyst to propose new business rules for the particular business application and even reconfigure the existing rules. This mining architecture facilitates knowledge based extraction of the business rules from any given E-business applications implemented using any type of business model. For the case work we developed the architecture for E-banking application and implemented various set of banking operation services in ASP.NET. The segmented source code of targeted business logic is provided as an input for the model and it performs rule mining and generates extended business logic as output. We have also evaluated the proposed architecture using Software Architecture Analysis Method (SAAM).