Yoshinobu Tamura – författare

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 book analyses quantitative open source software (OSS)reliability assessment and its applications, focusing on three major topicareas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment;the Practical Applications of OSS Reliability Modelling; and RecentDevelopments in OSS Reliability Modelling.

Offering an ideal reference guide for graduate students andresearchers in reliability for open source software (OSS) and modelling, thebook introduces several methods of reliability assessment for OSS includingcomponent-oriented reliability analysis based on analytic hierarchy process(AHP), analytic network process (ANP), and non-homogeneous Poisson process(NHPP) models, the stochastic differential equation models and hazard ratemodels.

These measurement and management technologies are essential toproducing and maintaining quality/reliable systems using OSS.