计算机工程2011，Vol.37Issue(5)：83-85,3.
基于优化RLSSVM的软件失效模型
Software Failure Model Based on Optimized RLSSVM
晁冰 1徐仁佐1
作者信息
- 1. 武汉大学软件工程国家重点实验室,武汉,430072
- 折叠
摘要
Abstract
Recurrent Least Squares Support Vector Machines(RLSSVM) is proposed to construct the failure model of software reliability and train it recurrently by using failure data set to improve its learning ability.The recurrent algorithm is used in model to reflect dynamically the change of software reliability so the model can predict accurately the software failure.Simulated Anneaiing(SA) algorithm is used to optimize the parameters of RLSSVM to construct more optimal failure model.After comparing with the models of NHPP category, the model based on RLSSVM and SA algorithm has better ability of fitting and prediction.关键词
软件失效模型/递归最小二乘支持向量机/模拟退火算法Key words
software failure model/ Recurrent Least Squares Support Vector Machines(RLSSVM)/ Simulated Annealing(SA) algorithm分类
信息技术与安全科学引用本文复制引用
晁冰,徐仁佐..基于优化RLSSVM的软件失效模型[J].计算机工程,2011,37(5):83-85,3.
