Earticle

초록

영어

The principal role of Data warehouses in making strategy decisions makes its quality crucial for organizations. Quality of data models for data warehouse has significant effect on the quality of data warehouse. Therefore, we need methods, models and tools to have quantitative and objective measurement of quality of data models for data warehouses. Lack of a set of defined measures made us to define a set of metrics that can be used to measure the complexity, understandability, believability, usability, accessibility, data currency and modifiability which are in turn defined as quality characteristics for data warehouse systems.
The proposed metrics may act as objective indicators of the quality of data warehouse models and also help the developers to select quality data model among various semantically equivalent models. The other advantage of these metrics is that they are available during early phase of software development life cycle.

목차

Abstract
 1. Introduction
 2. Conceptual Schema of Goal Dimension Table
 3. Metric Definition Process
 4. Parameters for Analyzing the Quality of Goal Structured Requirements Engineering and Traceability Model
  4.1 Understandability
  4.2 Modifiability
  4.3 Accessibility
  4.4 Data Currency
  4.5. Believability
  4.6 Timely
  4.7 Usability
  4.7. User Friendliness
 5. Quality Evaluation Table
 6. Conclusion and Scope for Future Work
 Acknowledgment
 References

키워드

저자

• Vinay Kumar [ Professor, Department of IT, VIPS, GGSIPU, New Delhi 110 088, India ]
• Reema Thareja [ Assistant Professor SPM Delhi University, Author of Oxford University Press, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605