Prioritizing technical debt in database normalization using portfolio theory and data quality metrics-Reference-Cited by-同舟云学术

Prioritizing technical debt in database normalization using portfolio theory and data quality metrics

Published:2018-05-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Technical Debt
language:
Short-container-title:

Author:

Albarak Mashel¹,Bahsoon Rami²

Affiliation:

1. University of Birmingham, UK and King Saud University, KSA

2. University of Birmingham, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3194164.3194170

Reference35 articles.

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2. 2018. AdventureWorks Sample Database. (2018). https://technet.microsoft.com/en-us/library/ms124501(v=sql.100).aspx 2018. AdventureWorks Sample Database. (2018). https://technet.microsoft.com/en-us/library/ms124501(v=sql.100).aspx

3. 2018. StoreFront Application. (2018). https://technet.microsoft.com/en-us/library/ms160795(v=sql.90).aspx 2018. StoreFront Application. (2018). https://technet.microsoft.com/en-us/library/ms160795(v=sql.90).aspx

4. Database Design Debts through Examining Schema Evolution

5. Identification and management of technical debt: A systematic mapping study

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