The main objective of software testing is to have the highest likelihood of finding the most faults\nwith a minimum amount of time and effort. Genetic Algorithm (GA) has been successfully used by\nresearchers in software testing to automatically generate test data. In this paper, a GA is applied\nusing branch coverage criterion to generate the least possible set of test data to test JSC applications.\nResults show that applying GA achieves better performance in terms of average number of\ntest data generations, execution time, and percentage of branch coverage.
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