Research on prediction model of software reliability based on SVR

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (13): 120-123.

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Research on prediction model of software reliability based on SVR

SaSa Ma

Received:2006-05-24 Revised:1900-01-01 Online:2007-05-01 Published:2007-05-01
Contact: SaSa Ma

基于SVR的软件可靠性预测模型研究

马飒飒冯哲赵守伟

军械工程学院光学与电子系无人机教研室

通讯作者: 马飒飒

Abstract

Abstract: As an important method, relative data during software lifecycle is used to analyze and predict software reliability. Firstly correlative factors, which have an 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.

Key words: Software reliability, Prediction model, Support Vector Regression, Monte Carlo simulative emulation

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, 蒙特卡罗模拟仿真

SaSa Ma. Research on prediction model of software reliability based on SVR[J]. Computer Engineering and Applications, 2007, 43(13): 120-123.

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.

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Research on prediction model of software reliability based on SVR

基于SVR的软件可靠性预测模型研究

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