• DocumentCode
    707258
  • 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
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    216
  • Lastpage
    221
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100248