Using genetic algorithms for test case generation in path testing

Abstract

Genetic algorithms are inspirvd by Darwin’s the survival o f the fittest theoly. This paper disctisses a genetic algorithm that can automatically generate test cases to test a selected path. This algorithm takes a selected path as a target and executes sequences of operators iteratively f o r test cases to evolve. The evolved test case can lead the program execution to achieve the target path. .4 j tness function namedSIMIMITY is dejned to determine which test cases should survive t f the jnal test case has not been found.

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