Overview
- Introduces the theory and application of open course software (OSS) reliability
- Includes stochastic modeling and deep learning approaches
- Useful to university students, IT professionals, and professors
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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About this book
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.
Keywords
Table of contents (12 chapters)
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Front Matter
Authors and Affiliations
About the authors
Yoshinobu Tamura received the Ph.D. degree from Tottori University in 2003. Since 2021, he has been working as a professor at the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan. Dr. Tamura received the Research Leadership Award in Area of Reliability from the ICRITO in 2010, the Best Paper Award of the IEEE International Conference on Industrial Engineering and Engineering Management in 2012, the Honorary Professor from Amity University of India in 2017, the Best Paper Award of the 24th ISSAT International Conference on Reliability and Quality in Design in 2018, the Outstanding Paper Award of the IEEE International Conference on Industrial Engineering and Engineering Management in 2022, and the Amity Global Academic Excellence Award of the IEEE 4th International Conference on Intelligent, Engineering and Management in 2023.
Shigeru Yamada is an emeritus professor at Tottori University, Japan
Bibliographic Information
Book Title: Applied OSS Reliability Assessment Modeling, AI and Tools
Book Subtitle: Mathematics and AI for OSS Reliability Assessment
Authors: Yoshinobu Tamura, Shigeru Yamada
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-031-64803-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-64802-1Published: 26 September 2024
Softcover ISBN: 978-3-031-64805-2Due: 10 October 2025
eBook ISBN: 978-3-031-64803-8Published: 25 September 2024
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XI, 188
Number of Illustrations: 19 b/w illustrations, 80 illustrations in colour
Topics: Open Source, Artificial Intelligence, Cyber-physical systems, IoT, Industrial and Production Engineering, Systems and Data Security, Computer Hardware