Automated Test Case Generation and Its Optimization for Path Testing Using Genetic Algorithm and Sampling

摘要：

Software testing is an important activity of the software development process, and automated test case generation contributes to reduce cost and time efforts.In this paper, we have used genetic algorithm to optimize the test cases that are generated using the category-partition and test harness patterns. In order to investigate the effectiveness of the approach, a graph is derived using category-partition and genetic algorithm is used to optimize the test cases to cover the entire possible path. The optimal test suites are devised by the method of sampling statistics.

关键词： Test Case Test Harness Genetic Algorithm Sampling Optimal test Suite

作者: Debasis Mohapatra Prachet Bhuyan Durga P.Mohapatra

作者单位: School of C.S & Engg KIIT University Bhubaneswar, Orissa Dept.of C.S & Engg.NIT Rourkela, Orissa

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 643-646

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）