关键词: 软件测试, 测试数据生成, 智能优化算法, 遗传算法, 粒子群优化

Abstract: Software testing is a very effective means of quality assurance and test data generation plays a key role in it. Test data generation based on intelligent optimization algorithm provides an effective solution to the problem of automated test data generation. And genetic algorithm and particle swarm optimization algorithm are the two most frequently used optimization algorithms in these methods based on intelligent optimization algorithm. Firstly, the current research results are summed up and the research status quo is analyzed in particular. Secondly, test data generation tools：AUSTIN and EvoSuite are introduced simply. Finally, the existing problems and future researches are discussed tentatively.

Key words: software testing, test data generation, intelligent optimization algorithm, Genetic Algorithm（GA）, Particle Swarm Optimization（PSO）