Formally Investigating Traceability Metrics of Data Warehouse Requirements Model using Briand's Framework

Data warehouse maintains historical information, which is used for taking important decisions in an enterprise. Hence, it becomes necessary to maintain information quality of data warehouse. Many researchers suggested various metrics for the evaluation of data model quality for maintaining information quality of data warehouse. Data models are at different level of abstraction namely; requirements, conceptual, logical and physical model. Quite a few investigations were witnessed in the past for evaluating quality of requirements model in formal and empirical manner. In this study, formal investigation of requirements traceability metrics of requirements model for data warehouse is carried out by employing Briand's property-based framework to ensure whether they are valid and are defined in the approved manner which in-turn build the quality based data warehouse. Results showed that out of seven traceability metrics, five metrics are found as cohesion measure and rest two metrics are found as coupling measure; which concluded that these metrics are valid and defined correctly. Thus, these requirements traceability metrics can be used successfully to assess the quality of requirements model of data warehouse.