Software reliability growth models / David D. Hanagal, Nileema N. Bhalerao.
Hanagal, David D., author.; Bhalerao, Nileema N., author.
2021
QA76.76.R44
Available Online

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Title Software reliability growth models / David D. Hanagal, Nileema N. Bhalerao.
Author Hanagal, David D., author.
ISBN 9789811600258 (electronic bk.)
9811600252 (electronic bk.)
9789811600265 (print)
9811600260
9789811600272 (print)
9811600279
9811600244
9789811600241
DOI https://doi.org/10.1007/978-981-16-0025-8
Published Singapore : Springer, [2021]
Language English
Description 1 online resource
Item Number 10.1007/978-981-16-0025-8 doi
Call Number QA76.76.R44
Dewey Decimal Classification 005
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 29, 2021).
Added Author Bhalerao, Nileema N., author.
Series Infosys Science Foundation series. Mathematical sciences.
Available in Other Form Software reliability growth models.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1. Introduction to Software Reliability Models
2. Literature Survey in Software Reliability Growth Models
3. NHPP Software Reliability Growth Models
4. Inverse Weibull Software Reliability Growth Model
5. Generalized Inverse Weibull Software Reliability Growth Model
6. Extended Inverse Weibull Software Reliability Growth Model
7. Generalized Extended Inverse Weibull Software Reliability Growth Model
8. Delayed S-Shaped SRGM with Time Dependent Fault Content Rate Function
9. Scope for Future Extension to SRGM.

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