Applied OSS Reliability Assessment Modeling, AI and Tools: Mathematics and AI for OSS Reliability Assessment (Springer Series in Reliability Engineering) - Hardcover

Tamura, Yoshinobu; Yamada, Shigeru

Hardcover

ISBN 10: 3031648021 ISBN 13: 9783031648021

Publisher: Springer, 2024

Synopsis

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.

About this title

About the Author

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

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 3031648021
• ISBN 13: 9783031648021
• Binding: Hardcover
• Number of pages: 199