Artificial neural network for software reliability prediction /

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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, faul...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Bisi, Manjubala (Author), Goyal, Neeraj Kumar (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ : Beverly, MA : John Wiley & Sons ; Scrivener Publishing, 2017.
Series:Performability engineering series.
Subjects:
Neural networks (Computer science)
Computer software > Reliability.
Neural Networks, Computer
Réseaux neuronaux (Informatique)
Logiciels > Fiabilité.
COMPUTERS > General.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Software reliability modelling
  • Prediction of cumulative number of software failures
  • Prediction of time between successive software failures
  • Identification of software fault-prone modules
  • Prediction of software development efforts
  • Recent trends in software reliability.

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