This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering.
The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
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).
Dr. Vijay Kumar received his M.Sc. in Applied Mathematics and M.Phil. in Mathematics from Indian Institute of Technology (IIT), Roorkee, India in 1998 and 2000, respectively. He has completed his PhD from the Department of Operational Research, University of Delhi. Currently, he is an Associate Professor in the Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India. He is the co-authored of one book and has published more than 55 research papers in the areas of software reliability, mathematical modeling and optimization in international journals and conferences of high repute. His current research interests include software reliability growth modelling, optimal control theory and marketing models in the context of innovation diffusion theory. He has reviewed many papers for Soft Computing(Springer), IJRQSE, IJQRM, IJSAEM and other reputed journals. He has edited special issues of IJAMS, CMES (Taylor & Francis), and RIO journal. He is an editorial board member of IJMEMS. He is a life member of Society for Reliability Engineering, Quality and Operations Management (SREQOM).
Dr. Hoang Pham is Distinguished Professor and Former Chairman (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was Senior Engineering Specialist with the Boeing Company and the Idaho National Engineering Laboratory. He has been served as Editor-in-Chief, Editor, Associate Editor, Guest Editor, and Board Member of many journals. He is Author or Coauthor of 7 books and has published over 190 journal articles and edited 15 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at many international conferences. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).
