Software Security Test Data Generation Based on Genetic Algorithms

Software security is an important quality. The software security testing is one of the most important kinds of the software testing. How to test the software security, and especially to automatically generate security test cases are major problems. An improved method of the test data generation based on Genetic Algorithm is put forwarded. A software security test algorithm is developed. The algorithm generates and optimizes test cases in order to discover security vulnerabilities in software. A series of experiments showed that the algorithm is superior to random algorithms in generating security test cases. At the same time, the experiments results validated the correctness and efficiency