Editors’ biography

Kapitel in diesem Buch

1. Frontmatter I
2. Preface VII
3. Acknowledgments IX
4. Contents XI
5. Editors’ biography XV
6. List of contributing authors XVII
7. Chapter 1 Cloud-enabled HAP for next-generation reliable networks: a dependability analysis 1
8. Chapter 2 Opportunity-based age replacement models in discrete time and their application 25
9. Chapter 3 An efficient GA-PSO algorithm for addressing multi-objective reliability optimization problems 47
10. Chapter 4 Mathematical data models for forecasting computational resources in cloud computing 65
11. Chapter 5 Mathematical modeling and reliability analysis of pulsed GTAW process in mechanical property for weld joints 87
12. Chapter 6 Analyzing enablers influencing reliability and adoption of conversational bots: an interpretive structural modeling technique 101
13. Chapter 7 Modeling of series parallel system by two types of repairs for reliability perspective 129
14. Chapter 8 Analyzing unmanned aerial vehicle threats and risks using STRIDE and DREAD 143
15. Chapter 9 Reliability analysis of a two out of four stochastic model with rework strategy 183
16. Chapter 10 A fast algorithm to find the maximum reliability route in stochastic networks 209
17. Chapter 11 Discovery and fixation process for software vulnerabilities: modeling and analysis incorporating learning functions 221
18. Chapter 12 Reliability assessment method based on cyclic noisy fault big data and AI for OSS 237
19. Chapter 13 MEREC-CoCoSo-based systematic approach to analyze and evaluate critical testing coverage measures for software development process 257
20. Chapter 14 The impact of mediator and observer design patterns on software reliability: an empirical evaluation 277
21. Chapter 15 Identifying the most efficient vulnerability detection methods: a multi-criteria decisionmaking approach 295
22. Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control 307
23. Chapter 17 Review of multi-release software reliability growth modeling framework 339
24. Index 353