摘要
软件可靠性增长模型是目前可靠性建模的重要数学工具,对可靠性的评测及测试资源管控研究具有重要作用。基于武警指挥信息系统软件的试验测试阶段,对系统软件可靠性定量评估方法进行了研究,通过拉普拉斯变换对测试阶段收集的失效数据进行趋势分析,得到可靠性增长结论。介绍了经典的Musa-Okumoto对数泊松执行时间(M-O)模型,并采用该模型给出了武警指挥信息系统软件可靠性的定量评估计算方法。试验表明,该方法简单实用,可满足系统软件可靠性评估需求。
Software reliability growth model is an important mathematical tool for reliable modeling,and it is significant on reliability evaluation and test resource management and control research.During the software experiment for armed police force command information system,the software reliability quantitative evaluation is researched.The failure data information in reliability test cases is obtained and analyzed by the Laplace transform.The classic Musa-Okumoto log Poisson execution time(M-O)model is introduced,and the software reliability quantitative evaluation calculation method is proposed by using that model.The result shows that the method is simple and practical,and it can meet the demand of software reliability evaluation.
作者
刘文
高希报
LIU Wen;GAO Xibao(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)
出处
《指挥信息系统与技术》
2019年第6期86-89,共4页
Command Information System and Technology
关键词
武警指挥信息系统
M-O模型
可靠性增长
armed police force command information system
Musa-Okumoto model
reliability growth
作者简介
刘文,女(1977—),高级工程师,研究方向为软件测试及软件可靠性工程;高希报,男(1981—),高级工程师,研究方向指挥控制系统的设计研发。
