An Approach of Software Fault Detection Based on HMM

摘要：

　　Software fault detection is one of the key technologies of software prognostics and health management.Through analyzing the Mechanism of Software Failure,the fault detection model based on the Hidden Markov Model (HMM) is proposed.After analyzing the composition and basic problem of HMM,reasons why HMM is adopted are presented;Secondly,the software function state HMM is constructed and training method of the model is proposed;Thirdly,the fault detection arithmetic of HMM is proposed through solution;Lastly,based on the arithmetic,an example is designed and demonstrated.The result proves the approach based on HMM is suitable for software fault detection.

关键词： HMM software prognostics and health management software failure software fault fault detection

作者: Yigang Wang Xueliang Hao Xiaodong Zhu Fei Ye

作者单位: Maintenance Engineering Institute Mechanical Engineering College Shijiazhuang, China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 643-646

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）