Comprehensive complexity metric for data warehouse multidimensional model understandability-Reference-Cited by-同舟云学术

Comprehensive complexity metric for data warehouse multidimensional model understandability

Published:2020-06 Issue:3 Volume:14 Page:275-282
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

Gosain Anjana¹,Singh Jaspreeti¹

Affiliation:

1. University School of Information, Communication and Technology Guru Gobind Singh Indraprastha University Sector - 16 C, Dwarka New Delhi 110078 India

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2019.0150

Reference30 articles.

1. Empirical studies to assess the understandability of data warehouse schemas using structural metrics;Serrano M.A.;Softw. Qual. J.,2008

2. YAM2: a multidimensional conceptual model extending UML;Abello A.;Inf. Syst.,2006

3. A UML profile for multidimensional modeling in data warehouses

4. Hierarchies in a multidimensional model: from conceptual modeling to logical representation;Malinowski E.;Data Knowl. Eng.,2006

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