Transforming Requirement Model into Information Package for a Nonfading Data Warehouse

Most of the data warehouse project fails to meet the business requirements and business goals because of the improper requirement engineering phase. Data warehouse quality depends on the quality of its requirement engineering models. Agent orientation is emerging as a unique paradigm in requirement engineering for constructing data warehouse and maintaining the non-fading data warehouse property. Agent-oriented systems are expected to be more powerful, more flexible and more robust than conventional requirement elicitation models. CAGDI stands for cluster agent–oriented goal decision information model and can be used in early as well as late requirement elicitation. This model has been illustrated though an application of a banking system. In the extension of this work, class diagram is generated in this paper to transform requirement engineering model into information package diagram.