This textbook introduces the theory and application of open source software (OSS) reliability. The measurement and management of open source software are essential to produce and maintain quality and reliable systems while using open source software. This book describes the latest methods for the reliability assessment of open source software. It presents the state of the art of open source software reliability measurement and assessment based on stochastic modeling and deep learning approaches. It introduces several ...
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This textbook introduces the theory and application of open source software (OSS) reliability. The measurement and management of open source software are essential to produce and maintain quality and reliable systems while using open source software. This book describes the latest methods for the reliability assessment of open source software. It presents the state of the art of open source software reliability measurement and assessment based on stochastic modeling and deep learning approaches. It introduces several stochastic reliability analyses of OSS computing with application along with actual OSS project data. The book contains exercises to aid learning and is useful for graduate students and researchers.
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New. Contains: Illustrations, black & white, Illustrations, color. Springer Series in Reliability Engineering . XI, 188 p. 99 illus., 80 illus. in color. Intended for college/higher education audience.
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New. Contains: Illustrations, black & white, Illustrations, color. Springer Series in Reliability Engineering . XI, 188 p. 99 illus., 80 illus. in color. Intended for college/higher education audience.
