Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Neural Network Applications for Software Reliability Prediction

Artificial Neural Network Applications for Software Reliability Prediction

Bisi, Manjubala
Goyal, Neeraj Kumar

Hardcover

Series: Performability Engineering

General ComputersProgramming

ISBN10: 1119223547
ISBN13: 9781119223542
Publisher: Wiley-Scrivener
Published: Sep 12 2017
Pages: 313
Weight: 1.30
Height: 0.75 Width: 6.00 Depth: 9.00
Language: English

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.

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