White-Box Test Case Generation Based on Improved Genetic Algorithm

Some intermittent or transient failures are particularly difficult to diag- nose in highly complex and interconnected systems. This paper focuses on the use of genetic algorithms for automatically generating software test cases. In particu- lar, this research extends a newly improved genetic algorithm, which adopts back propagation algorithm for local fine-tuning in the final link, and speeds up access to the best population. The various approaches offer opportunities for performance improvements that make these techniques more scalable for realistic applications.