System reliability management : solutions and technologies

Description

Cover......Page 1 Half Title......Page 2 Series Page......Page 3 Title Page......Page 4 Copyright Page......Page 5 Dedication......Page 6 Contents......Page 8 Preface......Page 10 Acknowledgments......Page 12 Authors......Page 14 List of Contributors......Page 16 1.1 Introduction......Page 18 1.2 Open Source Software......Page 19 1.3 Fault Data on BTS of OSS......Page 20 1.4.1 NN Approach......Page 21 1.4.2 DL Approach......Page 23 1.4.3 Time Series Analysis......Page 24 1.5.1 Component Identification for Software Failure......Page 26 1.5.2 Reliability Analysis Based on Time Series......Page 28 1.6 Conclusion......Page 31 References......Page 33 2.1 Introduction......Page 36 2.2 Notations......Page 40 2.3 Model Formulation......Page 41 2.3.2 Second Interval: [τ,τ[sub(p)]]......Page 42 2.3.3 Third Interval: [τ[sub(p)], Τ[sub(LC)]......Page 43 2.4 Numerical Example......Page 46 References......Page 49 3.1 Introduction......Page 52 3.2.1 Introductory Definitions about Fuzzy Set......Page 54 3.2.4 Defuzzification of TFN Constructed from Statistical Beta Distribution......Page 55 3.4 Mathematical Formulation of RRAP......Page 56 3.5 Constraint-Handling Technique for Constrained Mixed-Integer Nonlinear Problems......Page 57 3.6 Solution Methodology......Page 58 3.6.1 Genetic Algorithm......Page 59 3.6.2 Particle Swarm Optimization......Page 60 3.7 Numerical Examples......Page 61 References......Page 64 4.1 Introduction......Page 68 4.2 Two-Dimensional Software Reliability Model......Page 69 4.2.2 Reliability Assessment Measures......Page 70 4.3 Optimal Testing Effort Expending Problems......Page 72 4.4 Optimal Policies......Page 74 4.4.2 Optimal Policy 2......Page 75 4.5 Numerical Examples......Page 76 4.6 Concluding Remarks......Page 79 References......Page 80 5.1 Introduction......Page 82 5.2.2 Assumptions......Page 85 5.3 Data Analysis......Page 89 5.4 Conclusion......Page 92 References......Page 93 6.1 Introduction......Page 96 6.2 A Counting Process......Page 97 6.3 Power Law Process......Page 98 6.3.1 Some Distributional Results......Page 100 6.3.2 Likelihood Estimation and Confidence Interval......Page 101 6.3.3 Confidence Intervals Based on Future Observations......Page 102 6.4 Bayes Prediction Intervals Based on Future Observations......Page 104 6.5.1 A Conditional Test for β......Page 105 6.5.2 Large Sample Test for β Based on Likelihood Function......Page 106 6.5.3 Test for β Based on Score Function......Page 107 6.5.4 Test for β in the Presence of Nuisance Parameter θ......Page 108 6.5.5 A Test Based on Quadratic Form......Page 109 6.6 Conditional Testing and Confidence Interval......Page 110 6.7 Future Reliability Assessment......Page 115 References......Page 116 7.1 Introduction......Page 120 7.2 “I am looking for an honest man”......Page 121 7.3 Safety Culture......Page 122 7.4 Lessons Learnt......Page 123 7.5 Inductive Thinking......Page 124 7.6 Fifty Shades Darker......Page 125 7.7 Conclusion......Page 127 References......Page 128 8.1 Introduction: Background and Driving Forces......Page 130 8.2 Related Work......Page 131 8.3 Proposed Work......Page 132 8.4 Experiment and Results......Page 133 8.5 Conclusion......Page 134 References......Page 135 9.1 Introduction......Page 138 9.1.1 Vulnerability Types......Page 140 9.2 Literature Review......Page 141 9.3.1 Categorization of Vulnerabilities......Page 144 9.3.2 Number of Vulnerabilities in Each Category......Page 147 9.4 Numerical Illustration......Page 149 References......Page 151 10. Reliable Predictions of Peak Electricity Demand and Reliability of Power System Management......Page 154 10.1 Introduction......Page 155 10.2.1 Generalized Additive and Quantile Regression Models......Page 156 10.2.2 The Proposed AQR Model......Page 158 10.2.3 Parameter Estimation......Page 159 10.2.5 Forecasting Electricity Demand When Covariates Are Known in Advance......Page 160 10.2.7 Forecast Combinations and Error Measures......Page 161 10.3.2 Results and Discussions......Page 162 10.3.3 Results: Operational Forecasts......Page 165 10.4.2 Estimation of Threshold......Page 167 10.5.1 Reserve Margin......Page 171 10.5.3 Exponential Reliability Function......Page 173 10.6 Conclusion......Page 174 References......Page 175 11.1 Introduction......Page 178 11.2 The Measurement as Key Asset......Page 181 11.2.1 C-INCAMI Framework......Page 182 11.2.2 Updating the Measurement Package......Page 184 11.2.3 CINCAMI/MIS: A Measurement Interchange Schema Based on C-INCAMI......Page 186 11.3 The Processing Architecture Based on Measurement Metadata......Page 189 11.4 The Organizational Memory in the Processing Architecture......Page 191 11.5 Limiting In-Memory the Searching Space Related to the OM......Page 193 11.5.1 The Structural View: Filtering Based on the Common Attributes......Page 194 11.5.2 The Behavioral View: Filtering Based on the Processed Data......Page 195 11.6 An Application Case: The Weather Radar of the National Institute of Agricultural Technology (Anguil)......Page 199 11.7 Conclusions......Page 201 References......Page 202 12.1 Introduction......Page 206 12.2 Modeling Framework......Page 211 12.2.2 Assumptions......Page 212 12.2.4.1 Setup Cost......Page 213 12.2.4.4 Cost of Removal of Fault during Testing Phase after Release [τ, T]......Page 214 12.2.4.5 Cost of Removal of Faults after Testing Stop Time T......Page 215 12.2.4.9 Expected Profit......Page 216 12.3 Numerical Illustration......Page 217 12.4 Conclusion......Page 218 References......Page 219 13.1 Introduction......Page 222 13.2.1 Requirements......Page 224 13.2.4 Testing......Page 225 13.2.6 Maintenance......Page 226 13.3 Software Reliability Measures......Page 227 13.5 Factors that Impact Software Defect Density......Page 229 13.6 Testing Approaches......Page 233 13.7 Input Domain Software Reliability Models......Page 235 13.8 Software Reliability Growth Models......Page 236 13.8.1 Planning Prior to Testing......Page 239 13.9 Security Vulnerabilities in Internet Software......Page 244 13.10 Evaluation of Multicomponent System Reliability......Page 246 13.11 Optimal Reliability Allocation......Page 248 13.13 Conclusions......Page 251 References......Page 252 14.1 Introduction......Page 254 14.2 Fault Dependency Concept......Page 255 14.3 Software Fault Detection and Correction Process......Page 256 14.3.1 Modeling of Fault Detection and Removal Processes......Page 257 14.3.2 Power Function of Testing Time–Based Fault Detection and Removal Processes......Page 258 14.4.1 Error Dependency Model......Page 259 14.4.2 Considering Time Lag in Removal of Leading Faults and Fault Dependency......Page 260 14.4.3 Fault Dependency Models by Relaxing Time Lag in Leading Faults......Page 261 14.4.4 Power Function of Testing Time–Based Fault Dependency Models by Relaxing Time Lag in Leading Faults......Page 263 14.4.5 Power Function–Based Fault Dependency Models by Considering Time Lag in Leading Faults......Page 264 References......Page 267 Index......Page 270