Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : R.Vijayakumar, N.Basker

Volume 01 Issue o5  Year 2014  

ISSN no:  2348-3121  

Page no: 192-196

AbstractToday, Software testing is an essential part of successful software development process. The input executes the program and produces the expected output. The outcome of the software product depends on software testing. Manual testing is difficult to produce expected output. The manual testing takes long time to test. The major problem in manual testing is code coverage is not done at regular interval. Many techniques are used to automatically produce inputs in recent years. The test suite generation method is used to produce test suites with high code coverage. We produce a hybrid approach which provides the methodology to improve coverage level of branches in code at regular intervals. The main objective of the proposed system is to increase the coverage level with minimum test suite in a short time. The hybrid approach combines two techniques for improving the accuracy of branch coverage. The test cases are generated by using EVOSUITE tool. Optimization technique is based on coverage level of branch statements.

KeywordsTest case generation, branch coverage, fitness function, Genetic algorithm.


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