Title :
Validation of data warehouse requirements - model traceability metrics using a formal framework
Author :
Sharma, Rakhee ; Kumar, Manoj
Author_Institution :
Guru Gobind Singh Inderaprastha Univ., New Delhi, India
Abstract :
In recent years, data warehouse quality has acquired lots of attention as many important decisions are based on the data stored in data warehouses. Various researchers proved that metrics are quality indicators of data warehouses. These metrics have been proposed at the requirement, conceptual, logical and physical levels. Further, validation of metrics has also been done at the conceptual, logical and physical levels to show their practical utility. However no validation of metrics has been done at the requirement level. In this paper, our focus is on formal validation of data warehouse requirements-model metrics, (i.e. traceability metrics) using Briand´s framework, which is a property-based framework. The result of validation shows that the traceability metrics are defined properly and satisfy all the properties required for a size measure as per Briand´s framework.
Keywords :
data warehouses; conceptual levels; data warehouse quality; data warehouse requirements validation; data warehouse requirements-model metrics; formal framework; logical levels; model traceability metrics; physical levels; practical utility; Complexity theory; Data warehouses; Length measurement; Object oriented modeling; Size measurement; Unified modeling language; Briand´s framework; Data warehouse; Metrics; Requirements-model; Traceability metrics; Validation;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1