An Approach of Software Fault Detection Based on HMM

被引：0

作者：

Wang, Yigang ^{[1
]}

Hao, Xueliang ^{[1
]}

Zhu, Xiaodong ^{[1
]}

Ye, Fei ^{[1
]}

机构：

[1] Mech Engn Coll, Maintenance Engn Inst, Shijiazhuang, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE) | 2012年

关键词：

HMM; software prognostics and health management; software failure; software fault; fault detection;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

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.

引用

页码：644 / 647

页数：4