Applied OSS Reliability Assessment Modeling, AI and Tools
Mathematics and AI for OSS Reliability Assessment
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Beschreibung
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.
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.
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
Autor*in
Yoshinobu Tamura
Themen in »Applied OSS Reliability Assessment Modeling, AI and Tools«
Open Source Software Reliability Stochastic Differential Equation Jump Diffusion Process Deep Learning Fault big data Software Tool