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铁路软件可靠性增长模型应用研究
引用本文:李红辉,赵森,管军霖,江周娴.铁路软件可靠性增长模型应用研究[J].铁路计算机应用,2021,30(4):50-55.
作者姓名:李红辉  赵森  管军霖  江周娴
作者单位:1.北京交通大学 计算机与信息技术学院 高速铁路网络管理教育部工程研究中心,北京 100044
基金项目:神华集团科技创新项目(SHGF-17-56)
摘    要:分析G-O、Delayed S-shaped、Ohba-Chou及P-N-Z等4个软件可靠性增长模型的特点及适用场景,研究软件失效数据集的可靠性增长趋势分析方法和评价指标,提出一种可靠性增长模型参数计算的优化算法,在理论研究的基础上设计并实现了一款软件可靠性增长模型分析工具(SRGM Tool)。以铁路联锁软件记录的失效数据集为例,研究铁路软件可靠性增长模型应用方法,借助SRGM Tool,运用4种模型对铁路联锁软件进行可靠性评估,根据实验结果,分析并确定了一种适合该软件的可靠性增长模型,验证了方法的有效性,可为铁路软件可靠性分析和故障预测提供参考。

关 键 词:软件可靠性增长模型  软件可靠性分析  软件生效数据集  参数计算  铁路运输安全
收稿时间:2020-03-30

Research on application of railway software reliability growth model
Affiliation:1.Engineering Research Center of Ministry of Education of High-speed Railway Network Management, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China2.School of Computer and Information Security, Guilin University of Electronic Science and Technology, Guilin 541004, China
Abstract:This paper analyzed the characteristics and applicable scenarios of four software reliability growth models (SRGM), such as G-O, Delayed S-shaped, Ohba- Chou and P-N-Z, studied the reliability growth trend analysis method and evaluation index of software failure data set, put forward an optimization algorithm of SRGM parameter calculation, designed and implemented a SRGM analysis tool (SRGM Tool) on the basis of theoretical research. Taking the failure data set recorded by railway interlocking software as an example, the paper studied the application method of railway SRGM, with the help of SRGM Tool, used four models to evaluate the reliability of railway interlocking software, and according to the experimental results, analyzed and determined a reliability growth model suitable for the software, which verified the effectiveness of the method, and could provide reference for reliability analysis and fault prediction of railway software.
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