Regression Test Selection for Database Applications

Regression Test Selection for Database Applications

Ramzi A. Haraty (Lebanese American University, Lebanon), Nashat Mansour (Lebanese American University, Lebanon) and Bassel A. Daou (University of Ottawa, Canada)
Copyright: © 2004 |Pages: 25
DOI: 10.4018/978-1-59140-255-8.ch008
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Abstract

Database applications features such as Structured Query Language programming, exception handling, integrity constraints, and table triggers pose difficulties for maintenance activities, especially for regression testing that follows modifying database applications. In this chapter, we address these difficulties and propose a two-phase regression testing methodology. In phase 1, we explore control flow and data flow analysis issues of database applications. Then, we propose an impact analysis technique that is based on dependencies that exist among the components of database applications. This analysis leads to selecting test cases from the initial test suite for regression testing the modified application. In phase 2, we propose two algorithms for reducing the number of regression test cases. The Graph Walk algorithm walks through the control flow graph of database modules and selects a safe set of test cases to retest. The Call Graph Firewall algorithm uses a firewall for the inter-procedural level. Our experience with this regression testing methodology shows that the impact analysis technique is adequate for selecting regression tests and that phase 2 techniques can be used for further reduction in the number of these tests.

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