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Springer Software Reliability Growth Models (Infosys Science Foundation Series)

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Description
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.

Product Specifications
Brand
Springer
Format
hardcover
ASIN
9811600244
Category
Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain
Amazon UK
Release Date
27 February 2021
Listed Since
25 December 2020

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No barcode data available

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