文章基本信息

标题：Use of Software Reliability Growth model to Estimate the Reliability of Web Applications
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作者：Mr. Karambir ; Jyoti Tamak
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：The reliability of web applications is more difficult to measure and improve because the large system has highly distributed nature. Hardware faults can be easily predicted rather than the software faults. The customer required more security and accuracy in web applications. So the reliability of web applications is important to consider over different kind of network. The reliability of web applications is more complex rather than the other software systems. In this paper, we will use the Goel-Okumoto Software Reliability Growth models (SRG M) to detect the number of faults in a specified time and estimate its reliability in regard of web applications. The rate of change is calculated by executing the test cases for actual defects per day. The Goel-Okumoto uses exponential distribution to predict the number of faults in web applications. We will assess the software reliability of web applications by using software reliability growth models
关键词：Fault detection; software reliability growth model (SRGM); non-homogeneous Poisson ;process(NHPP);residual defects; confidence interval