| 书目名称 | Software Reliability Growth Models | | 编辑 | David D. Hanagal,Nileema N. Bhalerao | | 视频video | | | 概述 | Discusses the basic concepts of software reliability growth models.Explains different non-homogeneous Poisson process of software reliability models.Presents applications in artificial neural networks | | 丛书名称 | Infosys Science Foundation Series | | 图书封面 |  | | 描述 | This book presents the basic concepts of software reliability growth models (SRGMs), ranging from fundamental to advanced level. It discusses SRGM based on the non-homogeneous Poisson process (NHPP), which has been a quite successful tool in practical software reliability engineering. These models consider the debugging process as a counting process characterized by its mean value function. Model parameters have been estimated by using either the maximum likelihood method or regression. NHPP SRGMs based on inverse Weibull, generalized inverse Weibull, extended inverse Weibull, generalized extended inverse Weibull, and delayed S-shaped have been focused upon.. .Review of literature on SRGM has been included from the scratch to recent developments, applicable in artificial neural networks, machine learning, artificial intelligence, data-driven approaches, fault-detection, fault-correction processes, and also in random environmental conditions. This book is designed for practitioners and researchers at all levels of competency, and also targets groups who need information on software reliability engineering.. | | 出版日期 | Book 2021 | | 关键词 | hazard rate; mean value function; imperfect debugging; non-homogeneous Poisson process; model selection | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-0025-8 | | isbn_softcover | 978-981-16-0027-2 | | isbn_ebook | 978-981-16-0025-8Series ISSN 2363-6149 Series E-ISSN 2363-6157 | | issn_series | 2363-6149 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 17:13:25
