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A Modified Genetic Algorithm for Software Testing

Author(s): Anjali kapoor | Mohit kumar

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 5;
Issue: 5;
Start page: 248;
Date: 2013;
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The success of software depends largely on the quality as well as quantity of the testing. The testing phase can consume lots of resources, if not planned properly. Automatic test case generation can help in saving some of those precious resources and at the same time, can speed up the testing. Genetic Algorithms (GAs) are being widely used for such automatic generation, but none of these methods are handling the equality type of predicates in an effective way, as explained below in section 5. This paper proposes a new method which can fasten the automatic test case generation activity. Our initial study indicates a remarkable improvement in the time needed for automatic test case generation corresponding to equality predicatesand at the same time, does not affect most of the other test case generation corresponding to non-equality predicates,as mentioned in section 6 below. Results have also indicated improvement in test coverage in improved method as compared to existing GA method. Acomparison of the existing GA based techniques with the newly proposed technique clearly demonstrates that new method is overall more efficient and thus more desirable. This proposed concept can be made more sound and reliable by exploring it over much more complex and lengthier benchmarking programs.
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