Isbn: 9781119223542 - artificial neural network applications for software reliability prediction (performability engineering series) (18 resultados)

Condición: New. pp. 250.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: new.

Condición: New. pp. 250.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: New.

Condición: New. Series: Performability Engineering Series. Num Pages: 250 pages. BIC Classification: TJ; UMZ; UYQN. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . .

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.

Condición: New. In English.

Hardcover. Condición: Brand New. 250 pages. 9.25x6.25x1.00 inches. In Stock.

Condición: New. Series: Performability Engineering Series. Num Pages: 250 pages. BIC Classification: TJ; UMZ; UYQN. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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.…

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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: Brand New. 250 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.