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基于SVR的软件可靠性预测模型研究 被引量:5

Research on prediction model of software reliability based on SVR
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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。 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.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第13期120-123,共4页 Computer Engineering and Applications
基金 国家部委科研计划项目。
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 software reliability prediction model Support Vector Regression Monte Carlo simulative emulation
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