Applied OSS Reliability Assessment Modeling, AI and Tools : Mathematics and AI for OSS Reliability Assessment / / by Yoshinobu Tamura, Shigeru Yamada
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| Autore: |
Tamura Yoshinobu <1950->
|
| Titolo: |
Applied OSS Reliability Assessment Modeling, AI and Tools : Mathematics and AI for OSS Reliability Assessment / / by Yoshinobu Tamura, Shigeru Yamada
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (191 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Open source software |
| Artificial intelligence | |
| Cooperating objects (Computer systems) | |
| Industrial engineering | |
| Production engineering | |
| Data protection | |
| Computers | |
| Open Source | |
| Artificial Intelligence | |
| Cyber-Physical Systems | |
| Industrial and Production Engineering | |
| Data and Information Security | |
| Hardware Performance and Reliability | |
| Persona (resp. second.): | YamadaShigeru |
| Nota di contenuto: | Open Source Software Reliability -- Stochastic Differential Equation Model for OSS Reliability Analysis -- Dimensional Stochastic Differential Equation Model for OSS Reliability Analysis -- Jump Diffusion Process Model for OSS Reliability Analysis -- Cyclically Two Dimensional Stochastic Differential Equation Modeling -- Cyclically Two Dimensional Jump Diffusion Process Modeling -- Three Dimensional Tool Based on Noisy Model -- Deep Learning Method Based on fault big data Analysis for OSS Reliability Assessment -- Deep Learning Approach for OSS Reliability Assessment Considering Wiener Process -- Deep Learning Approach for OSS Reliability Assessment Considering Jump Diffusion Process -- Performance Illustrations of the Developed Application Tool Based on Deep Learning -- Exercise. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Applied OSS Reliability Assessment Modeling, AI and Tools |
| ISBN: | 3-031-64803-X |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910890186103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer Series in Reliability Engineering, . 2196-999X