Research On The Generation Method Of Test Cases In Fuzzing

Hongliu Cai, Xi Yu, Liuyuqin Deng
2015 Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics   unpublished
a caihongliubj@163.com, b yuxijxx@163.com, c email Abstract. Code coverage has always been an important factor affecting the efficiency of Fuzzing, and it is largely affected by Fuzzing test cases, so it is very important to construct efficient test cases. Applying genetic algorithm into the generation of test cases, it can not only reduce the redundancy of test cases, but also improve code coverage. So that we can fully test the target in less time, and improve the efficiency and effect of
more » ... y and effect of Fuzzing test.
doi:10.2991/icmii-15.2015.63 fatcat:4xiby5hkkfefxm7urxo3zz7n7e