Abstract: In this paper, genetic algorithm is applied to data generation process of Fuzzing.According to the specific characteristics of the test objective, all parts of genetic algorithm are defined specifically.The code coverage and diversity are the two factors to be introduced into the design of fitness function.The model is implemented preliminarily, and the experiment proves the validity to guide the testing direction in the process of Fuzzing.