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基于SVR的软件可靠性预测模型研究
引用本文:马飒飒,冯哲,赵守伟.基于SVR的软件可靠性预测模型研究[J].计算机工程与应用,2007,43(13):120-123.
作者姓名:马飒飒  冯哲  赵守伟
作者单位:军械工程学院,军械技术研究所,石家庄,050003;石家庄信息工程职业学院,计算机系,石家庄,050035;河北省教育考试院,石家庄,050036
摘    要:利用软件生命周期中的相关数据进行软件可靠性分析与预测是软件可靠性工程的重要组成部分。首先从软件开发全过程中分析影响软件可靠性的相关因素,对其进行定义并确定度量方法,然后以支持向量回归机(SVR)分析方法为数学工具,建立基于软件质量度量的软件可靠性预测模型,并对该模型进行仿真分析。

关 键 词:软件可靠性  预测模型  支持向量回归机(SVR)  蒙特卡罗模拟仿真
文章编号:1002-8331(2007)13-0120-04
收稿时间:2006-5-24
修稿时间:2006-08

Research on prediction model of software reliability based on SVR
MA Sa-sa,FENG Zhe,ZHAO Shou-wei.Research on prediction model of software reliability based on SVR[J].Computer Engineering and Applications,2007,43(13):120-123.
Authors:MA Sa-sa  FENG Zhe  ZHAO Shou-wei
Affiliation:1.Ordnance Technology Institute,Ordnance Engineering College, Shijiazhuang 050003, China; 2.Department of Computer, Information Engineering Profession College,Shijiazhuang 050035,China; 3.Hebei Institute of Education and Examination,Shijiazhuang 050036,China
Abstract:As an important method,relative data during software lifecycle is used to analyze and predict software reliability.Firstly correlative factors,which have influence on software reliability during the development of software process,are analyzed,defined and quantified.After that SVR(Support Vector Regression) is made use of to establish prediction model of software reliability based on quality measurement of software and the model is emulated in the end.
Keywords:software reliability  prediction model  Support Vector Regression  Monte Carlo simulative emulation
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