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An Empirical Study of Regression Test Selection Techniques
Proceedings of the 20th International Conference on Software Engineering
April 1998, pp. 188-197
Todd Graves, Mary Jean Harrold, Jung-Min Kim, Adam Porter, Gregg Rothermel
Abstract
Regression testing is an expensive maintenance
process directed at validating modified software.
Regression test selection techniques attempt to
reduce the cost of regression testing by selecting
tests from a program's existing test suite.
Many regression test selection techniques have been proposed.
Although there have been some analytical and empirical
evaluations of individual techniques, to our knowledge
only one comparative study, focusing on one aspect of
two of these techniques, has been performed.
We conducted an experiment to examine the relative costs and
benefits of several regression test selection techniques.
The experiment examined five techniques for
reusing tests, focusing on their relative
abilities to reduce regression testing effort
and uncover faults in modified programs.
Our results highlight several differences
between the techniques, and expose essential
tradeoffs that should be considered when
choosing a technique for practical application.
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