Applying the i* framework to the development of data warehouses

Abstract

Data warehouse design has been traditionally guided by an in-depth analysis of the underlying operational data sources, thus over-looking an explicit stage in which information requirements of decision makers are addressed. This scenario has prompted that the deployed data warehouse often fails in delivering the expected support of the decision making process. To overcome this problem, we propose to use the i* framework for modeling goals and requirements within our model driven architecture (MDA) approach for the development of data warehouses. Our current and short term research also includes the reconciliation between information requirements and data sources, and the modeling of quality-of-service requirements (e.g., security). Finally, an Eclipse-based tool is being implemented as a proof of concept of our research.