| 基于BP神经网络的软件可靠性模型选择 |
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| 引用本文： | 朱磊,杨丹,吴映波.基于BP神经网络的软件可靠性模型选择[J].计算机工程与设计,2007,28(17):4091-4093,4121. |
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| 作者姓名： | 朱磊 杨丹 吴映波 |
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| 作者单位： | 重庆大学软件工程实验室 重庆400044 |
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| 摘 要： | 软件可靠性模型是软件可靠性工程研究的一个重要方面.如何在缺乏可靠性数据的情况下,选择合适的软件可靠性模型是对软件可靠性进行量化分析的关键.参照软件可靠性模型评价准则,根据聚类思想,对失效数据编码,采用反向传播神经网络进行聚类计算,从而实现了软件可靠性模型的选择.最后通过仿真实验证明了该方法的正确性和有效性.
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| 关 键 词： | 软件可靠性模型 反向传播神经网络 模型选择 聚类 误差反向传播法 神经网络 软件可靠性模型 的选择 BP neural network based reliability model software 有效性 方法 验证 仿真 计算 反向传播 数据编码 失效 思想 聚类 评价准则 量化分析 情况 |
| 文章编号： | 1000-7024（2007）17-4091-03 |
| 修稿时间： | 2006-09-16 |
Selection of software reliability model based on BP neural network |
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| ZHU Lei,YANG Dan,WU Ying-bo.Selection of software reliability model based on BP neural network[J].Computer Engineering and Design,2007,28(17):4091-4093,4121. |
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| Authors: | ZHU Lei YANG Dan WU Ying-bo |
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| Affiliation: | Software Engineering Lab, Chongqing University, Chongqing 400044, China |
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| Abstract: | Software reliability model is an important aspect of software reliability engineering research.How to select the optimal model in case of lacking relaibility data is the key ofquantitativeanalysisfor software reliability.The approach ofmodel selection is implemented by the back propagation neural netwrok's clustering computation which using the coded from failure data.This coding process is based on the software reliability model estimate criterion and clustering analysis.At last,the emulational experimentation demonstrates the approach is correct and effective. |
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| Keywords: | software reliability model back propagation neural network model selection clstering error back propagation |
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