Téléchargez le livre : Software Reliability Growth Models

Software Reliability Growth Models

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Éditeur :

Springer


Collection :

Infosys Science Foundation Series

Paru le : 2021-02-26

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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.
Pages
104 pages
Collection
Infosys Science Foundation Series
Parution
2021-02-26
Marque
Springer
EAN papier
9789811600241
EAN PDF
9789811600258
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3492 Ko
Prix
94,94 €
EAN EPUB
9789811600258
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
10056 Ko
Prix
94,94 €

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