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.
| Autorius: | Shigeru Yamada, Yoshinobu Tamura, |
| Serija: | Springer Series in Reliability Engineering |
| Leidėjas: | Springer International Publishing |
| Išleidimo metai: | 2024 |
| Knygos puslapių skaičius: | 200 |
| ISBN-10: | 3031648021 |
| ISBN-13: | 9783031648021 |
| Formatas: | 241 x 160 x 16 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Applied OSS Reliability Assessment Modeling, AI and Tools: Mathematics and AI for OSS Reliability Assessment“
