Artificial Neural Network Applications for Software Reliability Prediction



de

,

Éditeur :

Wiley-Scrivener


Collection :

Performability Engineering Series

Paru le : 2017-09-18



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
201,45

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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.
Pages
313 pages
Collection
Performability Engineering Series
Parution
2017-09-18
Marque
Wiley-Scrivener
EAN papier
9781119223542
EAN PDF
9781119223962

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
313
Taille du fichier
1812 Ko
Prix
201,45 €
EAN EPUB
9781119223924

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
313
Taille du fichier
5949 Ko
Prix
201,45 €