| PLC控制系统软件可靠性的神经网络预测 |
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| 引用本文： | 张家海,徐耀群,路明.PLC控制系统软件可靠性的神经网络预测[J].哈尔滨工业大学学报,2006,38(4):662-664. |
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| 作者姓名： | 张家海 徐耀群 路明 |
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| 作者单位： | 1. 三江学院,电气工程系,江苏,南京,210012
2. 哈尔滨商业大学系统工程研究所,黑龙江,哈尔滨,150028 |
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| 摘 要： | 在PLC控制系统大规模软件开发中,为了控制软件的质量,必须对软件模块的缺陷数进行预测.本文根据软件模块测试报告,用神经网络动态预测了软件模块的缺陷数.结果表明:神经网络预测软件缺陷数比传统的G-O模型有更好的质量拟合度和估测能力.
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| 关 键 词： | 神经网络 PLC 软件可靠性 静态预测 |
| 文章编号： | 0367-6234(2006)04-0662-03 |
| 收稿时间： | 2004-12-10 |
| 修稿时间： | 2004年12月10 |
Neural network based dynamic prediction of software reliability in PLC control system |
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| ZHANG Jia-hai,XU Yao-qun,LU Ming.Neural network based dynamic prediction of software reliability in PLC control system[J].Journal of Harbin Institute of Technology,2006,38(4):662-664. |
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| Authors: | ZHANG Jia-hai XU Yao-qun LU Ming |
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| Affiliation: | 1. Dept. of Electrical Engineering, Sanjiang University, Nanjing 210012, China; 2. Institute of System Engineering, Harbin University of Commerce, Harbin 150028, China |
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| Abstract: | Accurately predicting the number of faults in program modules is a major problem in quality control of a large scale PLC control software system.Based on software test record,the application of the neural network as a tool for dynamicly predicting the number of faults in program is explored.It indicates that the neural network can produce models with better fitting quality and predictive quality in comparison with traditional G-O model. |
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| Keywords: | neural networks PLC software reliability dynamic forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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