Inicio Artificial Neural Network Applications for Software Reliability Prediction de Manjubala Bisi; Neeraj Kumar Goyal (ISBN: 9781119223542)

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Artificial Neural Network Applications for Software Reliability Prediction Tapa dura - 2017

Name: Artificial Neural Network Applications for Software Reliability Prediction
Price: 212.12 GBP
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Author: Bisi, Manjubala/ Goyal, Neeraj Kumar
ISBN: 9781119223542

de Manjubala Bisi; Neeraj Kumar Goyal

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Información de la editorial

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.

Descripción de contraportada

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

Detalles

Título Artificial Neural Network Applications for Software Reliability Prediction
Autor Manjubala Bisi; Neeraj Kumar Goyal
Encuadernación Tapa dura
Páginas 312
Volúmenes 1
Idioma ENG
Editorial Wiley-Scrivener
Fecha de publicación 2017-09-12
ISBN 9781119223542 / 1119223547
Peso 1.3 libras (0.59 kg)
Dimensiones 9 x 6 x 0.75 pulgadas (22.86 x 15.24 x 1.91 cm)
Library of Congress subjects Neural networks (Computer science), Computer software - Reliability
Número de catálogo de la Librería del Congreso de EEUU 2017030704
Dewey Decimal Code 006.32

Acerca del autor

Manjubala Bisi is currently an Assistant Professor in the Computer Science and Engineering Department, Kakatiya Institute of Technology and Science, Warangal, Telengana, India. She received her PhD from the Indian Institute of Technology Kharagpur in Reliability Engineering in 2015. Her research interests include software reliability modelling, artificial neural networks and soft computing techniques.

Neeraj Kumar Goyal is currently an Associate Professor in Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology Kharagpur, India. He received his PhD from IIT Kharagpur in Reliability Engineering in 2006. His major areas of research are network /system reliability and software reliability. He has completed various research and consultancy projects for various organizations, e.g. DRDO, NPCIL, Vodafone, ECIL etc. He has contributed research papers to refereed international journals and conference proceedings.

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