文献详情
A Generalized Software Reliability Growth Model With Consideration of the Uncertainty of Operating Environments
文献类型期刊
作者Li, Qiuying[1];Hoang Pham[2]
机构
通讯作者Li, QY (reprint author), Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China.; Li, QY (reprint author), Natl Key Lab Sci & Technol Reliabil & Environm En, Beijing 100191, Peoples R China.
来源信息年:2019  卷:7  页码范围:84253-84267  
期刊信息IEEE ACCESS影响因子和分区  ISSN:2169-3536
关键词Generalized software reliability growth model; non-homogeneous Poisson process; uncertainty; operating environment; imperfect debugging
增刊正刊
摘要This paper proposes a generalized model to cover imperfect debugging and the uncertainty of the operating environment and its effect on fault detection rate into software reliability evaluation based on a non-homogeneous Poisson process (NHPP). Many NHPP software reliability growth models (SRGMs) have been developed to estimate the software reliability measures over the past 40 years, but most of these models assume that the operating environment is the same as the testing environment. However, in fact, due to the unpredictability of the uncertain factors in the operating environments for the software, they may considerably influence the software's reliability in an unpredictable way. So when a software system works in a field environment, its reliability is usually different from the original reliability prediction in the testing phase of the software development process, also from all its similar applications in other fields. In this paper, a general model is used to derive models that incorporate the uncertainty of operating environments, which provides the flexibility in considering a different fault detection rate and random environmental factor and so on. Several published models are shown to be covered by this general model and a new model is also developed and examined. The numerical illustrative examples of the proposed model have been validated on two sets of real software failure data in terms of six criteria. The comparison results demonstrate that the new model can fit and predict significantly better than other existing models.
收录情况SCIE(WOS:000475812100001)  EI(20192907194711)  
所属部门可靠性与系统工程学院
DOI10.1109/ACCESS.2019.2924084
百度学术A Generalized Software Reliability Growth Model With Consideration of the Uncertainty of Operating Environments
语言外文
人气指数137
浏览次数137
基金National Key Laboratory of Science and Technology on Reliability and Environmental Engineering of China [WDZC2019601A303]
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