| Description |
1 online resource (277 pages) |
| Series |
Advanced Research in Reliability and System Assurance Engineering Ser |
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Advanced Research in Reliability and System Assurance Engineering Ser
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| Contents |
880-01 Cover; Half Title; Series Page; Title Page; Copyright Page; Dedication; Contents; Preface; Acknowledgments; Authors; List of Contributors; 1. AI Approach to Fault Big Data Analysis and Reliability Assessment for Open-Source Software; 1.1 Introduction; 1.2 Open Source Software; 1.3 Fault Data on BTS of OSS; 1.4 AI Approach; 1.4.1 NN Approach; 1.4.2 DL Approach; 1.4.3 Time Series Analysis; 1.5 Numerical Examples; 1.5.1 Component Identification for Software Failure; 1.5.2 Reliability Analysis Based on Time Series; 1.6 Conclusion; Acknowledgments; References |
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880-01/(S 6.3.2 Likelihood Estimation and Confidence Interval6.3.3 Confidence Intervals Based on Future Observations; 6.4 Bayes Prediction Intervals Based on Future Observations; 6.5 Hypothesis Tests for Parameters; 6.5.1 A Conditional Test for β; 6.5.2 Large Sample Test for β Based on Likelihood Function; 6.5.3 Test for β Based on Score Function; 6.5.4 Test for β in the Presence of Nuisance Parameter θ; 6.5.5 A Test Based on Quadratic Form; 6.6 Conditional Testing and Confidence Interval; 6.7 Future Reliability Assessment; References |
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3.2.4 Defuzzification of TFN Constructed from Statistical Beta Distribution3.3 Notations; 3.4 Mathematical Formulation of RRAP; 3.5 Constraint-Handling Technique for Constrained Mixed-Integer Nonlinear Problems; 3.6 Solution Methodology; 3.6.1 Genetic Algorithm; 3.6.2 Particle Swarm Optimization; 3.6.2.1 Constriction Coefficient-Based PSO; 3.7 Numerical Examples; 3.8 Concluding Remarks; References; 4. Optimal Software Testing Effort Expending Problems; 4.1 Introduction; 4.2 Two-Dimensional Software Reliability Model; 4.2.1 Basic Assumptions; 4.2.2 Reliability Assessment Measures |
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4.3 Optimal Testing Effort Expending Problems4.4 Optimal Policies; 4.4.1 Optimal Policy 1; 4.4.2 Optimal Policy 2; 4.5 Numerical Examples; 4.6 Concluding Remarks; References; 5. Revisiting Error Generation and Stochastic Differential Equation-Based Software Reliability Growth Models; 5.1 Introduction; 5.2 Methodology; 5.2.1 Notations; 5.2.2 Assumptions; 5.3 Data Analysis; 5.4 Conclusion; References; 6. Repairable System Modeling Using Power Law Process; 6.1 Introduction; 6.2 A Counting Process; 6.3 Power Law Process; 6.3.1 Some Distributional Results |
| Summary |
This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations. Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book. Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management |
| Notes |
7. Reliability and Safety Management of Engineering Systems through the Prism of "Black Swan" Theory |
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Print version record |
| Subject |
eliability (Engineering)
|
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Reliability (Engineering)
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TECHNOLOGY & ENGINEERING -- Engineering (General)
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TECHNOLOGY & ENGINEERING -- Quality Control.
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Complex Systems.
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Fault Detection Process.
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Fault Tolerant Systems.
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Maintenance Strategies.
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Software Architecture.
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Stochastic Modeling.
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Reliability (Engineering)
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| Form |
Electronic book
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| Author |
Ram, Mangey
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| ISBN |
9781351117654 |
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1351117653 |
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