Software Reliability Prediction Model based on Relevance Vector Machine

摘要：

Relevance vector machines have been successfully used in many domains, while their application in software reliability prediction is still quite rare. In this work, we propose to apply support vector regression (SVR) to build software reliability prediction model (RVMSRPM). We also compare the prediction accuracy of software reliability prediction models based on RVM, SVM, ANN and three traditional NHPP models. Experimental results show that our proposed RVM-based software reliability prediction model could achieve a higher prediction accuracy compared with these models.

作者: Qiuhong Zheng

作者单位: Department of Computer Science and Information Technology ZheJiang Wanli University Ningbo 315100 ,Zhejiang, PRC

会议类型: 国际会议

会议名称: Sixth International Conference on Semantics,Knowledge and Grids(第六届语义、知识与网格国际会议 SKG 2010)

会议地点: 宁波

会议语种:英文

页码: 317-320

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）