Artificial Neural Network Applications for Software Reliability Prediction (Hardcover)

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.

General

Imprint:	John Wiley & Sons
Country of origin:	United States
Release date:	September 2017
First published:	2017
Authors:	M Bisi
Dimensions:	235 x 151 x 24mm (L x W x T)
Format:	Hardcover
Pages:	312
ISBN-13:	978-1-119-22354-2
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	1-119-22354-7
Barcode:	9781119223542

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