Using Wavelet Support Vector Machines to Generate Expected Outputs

摘要：

A test case consists of a set of inputs and a list of expected outputs. To automatically generate the expected outputs for the test case is rather difficult. An approach based on wavelet support vector machines (WSVM) is proposed to overcome it. After training, WSVM is used to automatically generate the expected outputs, which approximate the correct outputs. Actual outputs of the application under testing (AUT) are then compared with expected outputs in an interval to determine if there is a failure. Experiment and comparison show that the method is effective and can save a lot of time and labor in software testing.

关键词： Support vector machines software testing wavelet kernel function.

作者: Mao Ye Boqin Feng Li Zhu Yao Lin

作者单位: School of Electronics and Information Engineering, Xian Jiaotong University, Xian 710049, China School of Software Engineering, Xian Jiaotong University, Xian 710049, China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 886-890

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）