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Springer Series in Reliability Engineering

Springer Series in Reliability Engineering: Mathematics and AI for OSS Reliability Assessment

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Springer Series in Reliability Engineering: Mathematics and AI for OSS Reliability Assessment

Tamura, Yoshinobu; Yamada, Shigeru

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.

Details

Published by: Springer

Publication Date: 2024-09-26

Format: Hardcover

ISBN-13: 9783031648021

DOI: 10.1007/978-3-031-64803-8

Dimensions: 235cm x155cm

Pages: 188

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