Predictive Analytics in System Reliability

Chapter 1. Deep Learning Approach for the Reliability Assessment of Cloud and Edge Open Source Software (Hironobu SONE).- Chapter 2. Parameter Estimation of Software Reliability Growth Models using Mayfly Optimization (Ankur Choudhary).- Chapter 3. Study of Automation of Test Generation using Genetic Algorithm Approach (Sonali Vyas).- Chapter 4. Measuring and evaluating big data factors in an enterprise using fuzzy based MOORA and Best Worst Method (Abhishek Srivastava).- Chapter 5. Reliability assessment and profit analysis of automated teller machine system under copular repair policy (Ibrahim Yusuf).- Chapter 6. Entropy-Based   Mathematical Modeling for Software Evolution (V.B.Singh).-Chapter 7. Development of Reliability Block Diagram (RBD) Model for Reliability Analysis of a Steam Boiler System (Suyog S. Patil).- Chapter 8. Prediction of software failure using fuzzy time series method (Mohamed Ashik. A).- Chapter 9. Big Data Quality Management System (Yury Klochkov).-Chapter 10. A Deep Analysis of Bad Smells using Machine Learning Classifiers (Aakanshi Gupta).- Chapter 11. Multi-Criterion Intuitionistic Fuzzy-TOPSIS Based Analysis for Software Quality Metric (Adarsh Anand).-Chapter 12. Reliability Allocation and Sensitivity Assessment of Solar Air Conditioner from Markov Process (Akshay Kumar).- Chapter 13. Design and Development of Question Answering System using Named Entity Recognition (NER) (Abhijit Kumar).- Chapter 14. Multi-attribute utility functions based strategic decision for software release time optimization (Vishal Pradhan).- Chapter 15. Empirical Evaluation of Code Bad Smells in Open-Source Software using Machine learning technique (Stuti Tandon).- Chapter 16. Reliability optimization of a system stand by system using PSO technique (Mangey Ram).- Chapter 17. Probabilistic model for the availability analysis of the milling section of rice mill plant (Ibrahim Yusuf).- Chapter 18. An Opportunistic Maintenance Model of Load Sharing Systems with PM and Minimal Repairs (Maryam Arabzadeh).