| 基于支持向量机的软件可靠性早期预测 |
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| 引用本文： | 李兴国,舒艳华,李嘉.基于支持向量机的软件可靠性早期预测[J].合肥工业大学学报(自然科学版),2007,30(7):859-863. |
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| 作者姓名： | 李兴国 舒艳华 李嘉 |
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| 作者单位： | 合肥工业大学,管理学院,安徽,合肥,230009 |
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| 摘 要： | 文章将支持向量机理论引入到软件可靠性早期预测领域中来,提出了基于支持向量机的软件可靠性早期预测模型;通过对比仿真实验,证实了该模型同传统模型相比,具有预测精度高、泛化能力强及对样本数量的依赖程度低的特点。
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| 关 键 词： | 软件可靠性 早期预测 支持向量机 |
| 文章编号： | 1003-5060(2007)07-0859-05 |
| 修稿时间： | 2006年3月2日 |
Early software reliability prediction based on the support vector machine |
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| LI Xing-guo,SHU Yan-hua,LI Jia.Early software reliability prediction based on the support vector machine[J].Journal of Hefei University of Technology(Natural Science),2007,30(7):859-863. |
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| Authors: | LI Xing-guo SHU Yan-hua LI Jia |
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| Abstract: | The support vector machine(SVM) theory is introduced into the field of early software reliability prediction,and a model of early software reliability prediction based on the SVM is put forward.Simulation results show that compared with classic models,the new model has better prediction precision,better generalization ability and lower dependence on the number of samples. |
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| Keywords: | software reliability early prediction support vector machine(SVM) |
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