Artificial Neural Network Applications for Software Reliability Prediction (Performability Engineering Series)

Manjubala Bisi, Neeraj Kumar Goyal

ISBN 10: 1119223547 / ISBN 13: 9781119223542

Published by John Wiley & Sons 2016-08-04, 2016

About this Item

Seller Inventory # 6666-WLY-9781119223542

Bibliographic Details

Title: Artificial Neural Network Applications for ...

Publisher: John Wiley & Sons 2016-08-04

Publication Date: 2016

Binding: Hardcover

Condition: New

About this title

Synopsis:

Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process is presented as well. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.

From the Back Cover:

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization.

Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.

Audience
The book will be invaluable to software researchers and practitioners working in reliability prediction.