Genetic Algorithm Improvements Used in Test Case Generation

In the software testing technology,efficient test case generation is to simplify the testing,the necessary means to improve testing efficiency.Traditional genetic algorithm is a multi-point search and cross-operation technology,effectively used in the test case generation.Although the algorithm has good global search capability,but for the local search space problem is not very effective.In light of this,an improved genetic algorithm for test-case generation is presented,and improved on traditional genetic algorithm fitness function and genetic operators,to improve the algorithm's search ability in the local space.Experimental results show that the algorithm efficiency and effectiveness of test case generation is better than traditional genetic algorithm.