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Applied OSS Reliability Assessment Modeling, AI and Tools: Mathematics and AI for OSS Reliability Assessment. 2024 ed.

Applied OSS Reliability Assessment Modeling, AI and Tools: Mathematics and AI for OSS Reliability Assessment. 2024 ed.

・ISBN 978-3-031-64802-1 hard EUR 64.99

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お気に入り
著者・編者Tamura, Yoshinobu / Yamada, Shigeru,
シリーズ (Springer Series in Reliability Engineering)
出版社 (Springer International Publishing AG, SZ)
出版年月2024
ページ数188 pp.
言語ENG
ニュース番号<A03-49696>

解説

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.