A Dynamic Knowledge Approach for Dynamic Business Rules Modeling

Business Rules are formal statements about the data and processes of an enterprise. In an enterprise, business rules are used to represent certain aspects of a business domain (static rules) or business policy (dynamic rules). Hence, regarding problem domains in the organization, business rules are classified into two groups: static and dynamic business rules. The paper introduces a new concept of business rules, Extended Dynamic Business Rule which contains the results of the occurrence of business rule\u27s action. In this paper, we focus on such business rules and use Mineau’s approach for modeling them. Mineau’s approach is an extension of Conceptual Graph theory by John Sowa

An Integrated Service-Oriented Development Platform for Realization of e-Business Systems

Enterprises need to be responsive to meet dynamic businesses and requirements. Service-oriented architecture can improve e-Business applications in integration and flexibility. Therefore, service-oriented architecture has been envisioned as an appropriate computational paradigm for e-business applications. This paper proposes a multi-model driven collaborative development platform for building service-oriented e-Business systems. The platform supports service-oriented software engineering and application developments. It employs three views, i.e., business view, process view, and service view to support business and technical consultants’ operations. Consultants can collaborate from distributed sites of, e.g., clients and IT vendors to provide their clients’ with rapid system development and demonstration. The proposed platform is service-oriented and driven by three models, i.e., service meta-model, process model and business model. All of these three models are supported by a semantic reasoning engine to facilitate intelligent service discovery, process execution and business-business integration. A simple example has been used to demonstrate its functionality

Business Rules on Trial: Exploring hindrances in validation of Natural Language Business Rules

The ability for organizations to respond to change has become ever more important in today's rapidly changing macro environment. The Business Rules Approach, a relatively new Information Systems Development methodology, promises business agility through the focus on and use of Business Rules. Business Rules are to be stated in natural language, so that they can be accessed and validated by people without technical experience. The easy validation of Business Rules by non-technical business users is a fundamental, but largely untested, claim and assumption in the Business Rules Approach. This thesis employs an experiment where eight librarian business experts were exposed to natural language Business Rules in order to find out if any problems arise when the said business experts attempted validation. The data was collected by conducting interviews in conjunction with the experiment, resulting in the conclusion that there were no major hindrances to validation of natural language Business Rules. The business experts in the study were able to go beyond validation of Business Rules by correcting erroneous Business Rules, suggesting corrections to Business Rules and in rare cases suggest structural changes to Business Rules