Theoretical Validation of Object-Oriented Metrics for Data Warehouse Multidimensional Model

摘要

Metrics are commonly used to guide the designers to build quality data warehouse models. Recently, researchers have defined various object-oriented metrics for data warehouse conceptual model to access their quality. These metrics require theoretical and empirical validation to confirm their applicability in real time. Empirical validation of object-oriented metrics has already been carried out but theoretical validation has not been taken into account. In this paper, theoretical validation for object-oriented metrics using Zuse's framework is presented to show that these metrics may be considered as strong measures for evaluating quality of object-oriented conceptual models of data warehouse.