Applied OSS Reliability Assessment Modeling, AI and Tools Mathematics and AI for OSS Reliability Assessment /
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 re...
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| Hoofdauteurs: | , |
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| Coauteur: | |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Editie: | 1st ed. 2024. |
| Reeks: | Springer Series in Reliability Engineering,
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-031-64803-8 |
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Inhoudsopgave:
- 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.