| 一种软件可靠性增长模型选择与综合方法 |
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| 引用本文： | 冯光成,顾庆,陈翔,陈道蓄. 一种软件可靠性增长模型选择与综合方法[J]. 计算机科学, 2009, 36(9): 135-138 |
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| 作者姓名： | 冯光成 顾庆 陈翔 陈道蓄 |
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| 作者单位： | 南京大学计算机科学与技术系计算机软件新技术国家重点实验室,南京,210093 |
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| 基金项目： | 国家"863"项目，国家自然科学基金NSFC，江苏省自然科学基金基础研究项目 |
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| 摘 要： | 软件可靠性增长模型可以预测软件在将来某个时刻的可靠性,以此作为软件是否发布的依据.而目前常见的各种模型对不同失效数据集的预测能力并不一致.提出了一种软件可靠性增长模型选择和应用的框架,利用可靠性模型评价准则,对特定的失效数据集选择优选模型集,根据优选模型集利用神经网络较好的学习预测能力计算可靠性.利用此方法对实际软件项目中的失效数据进行了分析,并验证了它的有效性.
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| 关 键 词： | 软件可靠性 可靠性增长模型 模型选择与综合 神经网络 |
| 收稿时间： | 2008-10-28 |
| 修稿时间： | 2009-01-04 |
Software Reliability Growth Model Selection and Composition Method |
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| FENG Guang-chen,GU Qing,CHEN Xiang,CHEN Dao-xu. Software Reliability Growth Model Selection and Composition Method[J]. Computer Science, 2009, 36(9): 135-138 |
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| Authors: | FENG Guang-chen GU Qing CHEN Xiang CHEN Dao-xu |
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| Affiliation: | State Key Laboratory for Novel Software Technology;Department of Computer Science and Technology;Nanjing University;Nanjing 210093;China |
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| Abstract: | Software reliability growth models are used for the prediction of software reliability which can decided whether software could make release.At present,all kinds of common models' predict ability is inconsistent.We proposed a framework for software reliability growth model selection and application.The method provided guidelines on how to select better model set on the given failure data set,and then used these models to predict reliability with neural network.The method was applied in a case study using fa... |
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| Keywords: | Software reliability Software Reliability Growth Model Model selection and compose Neural network |
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