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Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph

Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph

Kaiping Liu, Hee Beng Kuan Tan, Xu Chen
Copyright: © 2013 |Volume: 24 |Issue: 1 |Pages: 16
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781466630437|DOI: 10.4018/jdm.2013010102
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MLA

Liu, Kaiping, et al. "Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph." JDM vol.24, no.1 2013: pp.20-35. http://doi.org/10.4018/jdm.2013010102

APA

Liu, K., Tan, H. B., & Chen, X. (2013). Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph. Journal of Database Management (JDM), 24(1), 20-35. http://doi.org/10.4018/jdm.2013010102

Chicago

Liu, Kaiping, Hee Beng Kuan Tan, and Xu Chen. "Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph," Journal of Database Management (JDM) 24, no.1: 20-35. http://doi.org/10.4018/jdm.2013010102

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Abstract

Database is a major component of many software systems. This paper proposes a novel graph called the attribute dependency graph to reveal the dependencies between attributes in a database application and also the programs involved. The authors propose an approach to automatically extract the attribute dependency graph out of a database application from its source code through inter-procedural static program analysis. The extracted information is a straightforward indicator that benefits the maintenance process, particularly for impact analysis on the modifications in a database application. A tool has been developed to implement the proposed approach for PHP-based database applications. Case studies have also been conducted to demonstrate the use of our approach.

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