| Artificial Neural Network Applications for Software Reliability Prediction Contributor(s): Bisi, Manjubala (Author), Goyal, Neeraj Kumar (Author) |
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ISBN: 1119223547 ISBN-13: 9781119223542 Publisher: Wiley-Scrivener OUR PRICE: $208.00 Product Type: Hardcover - Other Formats Published: September 2017 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Software Development & Engineering - Project Management |
| Dewey: 006.32 |
| LCCN: 2017030704 |
| Series: Performability Engineering |
| Physical Information: 0.75" H x 6" W x 9" (1.30 lbs) 312 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |