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Artificial Neural Network Applications for Software Reliability Prediction (Performability Engineering Series) - Tapa dura
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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, 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 is presented as well. 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.
Contraportada
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.
Audience
The book will be invaluable to software researchers and practitioners working in reliability prediction.
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- EditorialWiley-Scrivener
- Año de publicación2017
- ISBN 10 1119223547
- ISBN 13 9781119223542
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas313
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Artificial Neural Network Applications for Software Reliability Prediction (Performability Engineering Series)
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Artificial Neural Network Applications for Software Reliability Prediction
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Artificial Neural Network Applications for Software Reliability Prediction (Hardcover)
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Hardcover. Condición: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781119223542
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Artificial Neural Network Applications for Software Reliability Prediction
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Gebunden. Condición: New. 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 Reliab. Nº de ref. del artículo: 447234383
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Artificial Neural Network Applications for Software Reliability Prediction
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ISBN 13: 9781119223542
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Artificial Neural Network Applications for Software Reliability Prediction (Performability Engineering Series)
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John Wiley & Sons 2016-08-04, 2016
ISBN 10: 1119223547
ISBN 13: 9781119223542
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Artificial Neural Network Applications for Software Reliability Prediction
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Buch. Condición: Neu. Neuware - 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 is presented as well. 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. Nº de ref. del artículo: 9781119223542
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