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组合导航软件可靠性的神经网络动态预测
引用本文:张家海,徐耀群.组合导航软件可靠性的神经网络动态预测[J].哈尔滨工业大学学报,2005,37(12):1691-1693.
作者姓名:张家海  徐耀群
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
基金项目:黑龙江省自然科学基金资助项目(F0215).
摘    要:在组合导航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.

关 键 词:神经网络  组合导航系统  软件可靠性  动态预测
文章编号:0367-6234(2005)12-1691-03
收稿时间:2004-08-01
修稿时间:2004年8月1日

Neural network based dynamic prediction of software reliability in integrated navigation system
ZHANG Jia-hai,XU Yao-qun.Neural network based dynamic prediction of software reliability in integrated navigation system[J].Journal of Harbin Institute of Technology,2005,37(12):1691-1693.
Authors:ZHANG Jia-hai  XU Yao-qun
Abstract:Accurately predicting the number of faults in program modules is a major problem in quality control of a large scale integrated navigation software system. Based on software test records, the use of neural networks as a tool for dynamically predicting the number of faults in a program is explored. It indicates that the neural networks did produce models with better quality of fit and predictive quality than the traditional G -O model.
Keywords:neural networks  integrated navigation system  software reliability  dynamic forecast
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