On completeness and traceability metrics for data warehouse requirements engineering
Manoj Kumar, Anjana Gosain, Yogesh Pal Singh · International Journal of Computational Systems Engineering · 2013
Due to increased complexity of data warehouse (DW), continuous attention must be paid for evaluation of quality throughout its design and development. The quality of models is one of the main factors that influence information quality of DW. In some earlier works, metrics or guidelines to assure the quality of conceptual, logical and physical models for DW were proposed. To the best knowledge of the authors, there is no significant work found in the literature that may assure quality of DW requirements model. In this paper, we present requirements completeness and traceability metrics to monitor the progress of DW requirements engineering (RE) products (i.e., requirements model) while using a particular approach. Here, in our case, our existing approach is being used for capturing DW requirements, in which, we capture requirements in terms of organisation model, decision model and information model. We have successfully applied our proposed metrics to these DW requirements models for a typical banking organisation.