基于SRGM的可靠性分析  

Analysis of SRGM reliability

作　　者：毛子剑 Mao Zijian(School of Computer Science and Engineering,North Minzu University,Yinchuan 750021,China)

机构地区：[1]北方民族大学计算机科学与工程学院,宁夏银川750021

出　　处：《无线互联科技》2021年第24期33-34,共2页Wireless Internet Technology

基　　金：北方民族大学研究生创新项目;项目编号:YCX20072。

摘　　要：随着软件数量不断增加,软件已经广泛地应用在日常生活中,而且软件的复杂程度也在不断地提升,导致软件的可靠性受到了很大的影响。软件可靠性增长模型(Software Reliability Growth Models,SRGM)根据软件的历史故障数据来预测与可靠性相关的参数信息,避免软件在实际使用中因发生故障而给用户造成损失。SRGM对软件质量的评估具有重要的意义,可以对所观察到的故障数据进行拟合,并对未来可能发生的失效行为进行预测。通过在软件测试过程中运用SRGM,不仅可以为测试人员提供软件的可靠性信息,而且还有助于建立最佳的软件发布决策,进一步保障软件质量。With the increasing number of software, software has been widely used in daily life, and the complexity of software is also constantly improving, resulting in the software reliability has been greatly affected. The software reliability growth models(SRGM)predict the parameter information related to reliability based on the historical failure data of the software, so as to avoid the loss of the user due to the failure of the software in actual use. SRGM is of great significance for software quality evaluation. It can fit the observed failure data and predict the possible failure behavior in the future. Through the application of SRGM in software testing, it can not only provide software reliability information for testers, but also help to establish the best software release decision and further ensure the software quality.

关 键 词：SRGM 软件测试 软件可靠性 J-M模型 超几何分布模型 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论]