A methodology for controlling the size of a test suite
ACM Transactions on Software Engineering and Methodology (TOSEM)
Selecting tests and identifying test coverage requirements for modified software
ISSTA '94 Proceedings of the 1994 ACM SIGSOFT international symposium on Software testing and analysis
Dividing strategies for the optimization of a test suite
Information Processing Letters
A safe, efficient regression test selection technique
ACM Transactions on Software Engineering and Methodology (TOSEM)
TestTube: a system for selective regression testing
ICSE '94 Proceedings of the 16th international conference on Software engineering
Effect of test set minimization on fault detection effectiveness
Software—Practice & Experience
Automatic test data generation for path testing using GAs
Information Sciences: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Generating Software Test Data by Evolution
IEEE Transactions on Software Engineering
Test-Suite Reduction and Prioritization for Modified Condition/Decision Coverage
IEEE Transactions on Software Engineering
Breeding Software Test Cases with Genetic Algorithms
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
An Empirical Study of the Effects of Minimization on the Fault Detection Capabilities of Test Suites
ICSM '98 Proceedings of the International Conference on Software Maintenance
Model-based regression test case prioritization
ACM SIGSOFT Software Engineering Notes
An enhanced test case selection approach for model-based testing: an industrial case study
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Reducing the cost of model-based testing through test case diversity
ICTSS'10 Proceedings of the 22nd IFIP WG 6.1 international conference on Testing software and systems
Achieving scalable model-based testing through test case diversity
ACM Transactions on Software Engineering and Methodology (TOSEM)
Search based constrained test case selection using execution effort
Expert Systems with Applications: An International Journal
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As the software is modified and new test cases are added to the test-suite, the size of the test-suite grows and the cost of regression testing increases. In order to decrease the cost of regression testing, researchers have researched on the use of test-suite reduction techniques, which identify a subset of test cases that provides the same coverage of the software, according to some criterion, as the original test-suite. This paper investigates the use of an evolutionary approach, called genetic algorithms, for test-suite reduction. The algorithm builds the initial population based on test history, calculates the fitness value using coverage and cost information, and then selectively breeds the successive generations using genetic operations. This generational process is repeated until a minimized test-suite is founded. The results of studies show that, genetic algorithms can significantly reduce the size of the test-suite and the cost of regression testing, and achieves good cost-effectiveness.