Early Software Reliability Prediction, Ajeet Kumar Pandey; Neeraj Kumar Goyal
Автор: Beyer Betsy, Jones Chris, Petoff Jennifer Название: Site Reliability Engineering: How Google Runs Production Systems ISBN: 149192912X ISBN-13(EAN): 9781491929124 Издательство: Wiley Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this collection of essays and articles, key members of Google`s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world.
Автор: E.M. Clarke; Doron A. Peled Название: Software Reliability Methods ISBN: 1441928766 ISBN-13(EAN): 9781441928764 Издательство: Springer Рейтинг: Цена: 16484.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents current methods for dealing with software reliability, illustrating the advantages and disadvantages of each method. This reference will serve as an introduction to formal methods and techniques and will be a source for learning about various ways to enhance software reliability.
Автор: Jacobson Название: The Road to the Unified Software Development Process ISBN: 0521787742 ISBN-13(EAN): 9780521787741 Издательство: Cambridge Academ Рейтинг: Цена: 9979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an excellent overview of Ivar Jacobson`s work on the Unified Software Development Process.
Описание: Software testing is a critical stage in software development that ensures that a program meets required specifications and is free of bugs. In this handbook, Cem Kaner and James Bach, two of the world`s leading testing experts help you avoid testing errors without the trial and error it normally takes to do so.
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.
Автор: Rook Название: Software Reliability Handbook ISBN: 1851664009 ISBN-13(EAN): 9781851664009 Издательство: Springer Рейтинг: Цена: 40389.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This reference work on software reliability provides: comprehensive subject matter - based on real experience rather than hypothesis; straightforward reading - a reference point for technical staff, managers and customers; and extensive references providing more in-depth subject coverage.
Автор: Sergio Bittanti Название: Software Reliability Modelling and Identification ISBN: 3540506950 ISBN-13(EAN): 9783540506959 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: N. Fenton; B. Littlewood Название: Software Reliability and Metrics ISBN: 1851666753 ISBN-13(EAN): 9781851666751 Издательство: Springer Рейтинг: Цена: 34380.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hoang Pham Название: System Software Reliability ISBN: 184996971X ISBN-13(EAN): 9781849969710 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an introduction to software reliability engineering and a survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems.
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