The framework for decision process automation in intellectualised information systems

Abstract

Many studies on software project failures have identified difficulties in capturing requirements, managing complexity and dynamic changes of the environment. This is because of the traditional software engineering, where capturing of requirements is static and long implementable. This is especially important for decision-making in dynamically changing business. In this paper we offer modernization of information system development methods used for implementation of automated information-, rule-, knowledge- and model-based decision processes assisted by early separation and development of a business logic model and implementation of decision-making and knowledge discovery process models by proposing an information systems development framework. The advantages of the proposed framework is early separation and development of a business logic model and further support for business people for modification of business logic without any involvement of software developers or minimizing their persistence in the later exploitation stages. At the end of the paper we summarize our earlier obtained experiments on the use of declarative logic models, which implement suggested framework.