System Assurances

Modeling and Management

1st Edition - February 16, 2022

Editors: Prashant Johri, Adarsh Anand, Juri Vain, Jagvinder Singh, Mohammad Tabrez Quasim

Paperback ISBN:

9 7 8 - 0 - 3 2 3 - 9 0 2 4 0 - 3

eBook ISBN:

9 7 8 - 0 - 3 2 3 - 9 0 2 4 1 - 0

System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling… Read more

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System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today’s debugging team’s point-of-view, along with information on preventive and predictive maintenance and the efficient use of testing resources. The book presents the rapidly growing application areas of systems and software modeling, including intelligent synthetic characters, human-machine interface, menu generators, user acceptance analysis, picture archiving and software systems. Students, research scholars, academicians, scientists and industry practitioners will benefit from the book as it provides better insights into modern related global trends, issues and practices.

Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Acknowledgments
Chapter 1: Statistical analysis approach for the quality assessment of open-source software
Abstract
Acknowledgment
1.1: Introduction
1.2: Correspondence analysis
1.3: Estimation procedure based on correspondence analysis
1.4: Numerical examples
1.5: Concluding remarks
References
Chapter 2: Analytical modeling and performance evaluation of SIP signaling protocol: Analytical modeling of SIP
Abstract
Acknowledgments
2.1: Introduction
2.2: Background work
2.3: SIP layered structure and its working
2.4: Proposed SRN model of SIP INVITE transaction
2.5: Performance measures
2.6: Numerical illustration
2.7: Model validation
2.8: Conclusions
References
Chapter 3: An empirical validation for predicting bugs and the release time of open source software using entropy measures—Software reliability growth models
Abstract
3.1: Introduction
3.2: Information measures
3.3: Conclusion
References
Chapter 4: Risk assessment of starting air system of marine diesel engine using fuzzy failure mode and effects analysis
Abstract
4.1: Introduction
4.2: Starting air system
4.3: Failure mode and effects analysis (FMEA)
4.4: The proposed methodology
4.5: An illustrative example: Starting air system
4.6: Results
4.7: Sensitivity analysis
4.8: Conclusions
References
Chapter 5: Test scenario generator learning for model-based testing of mobile robots
Abstract
5.1: Introduction
5.2: Related work
5.3: Preliminaries
5.4: Tool architecture
5.5: Validation
5.6: Conclusion
References
Chapter 6: Testing effort-dependent software reliability growth model using time lag functions under distributed environment
Abstract
6.1: Introduction
6.2: Software reliability growth modeling
6.3: Parameter estimation
6.4: Comparison of SRGM criteria
6.5: Data description and model validation
6.6: Conclusion
References
Chapter 7: Design and performance analysis of MIMO PID controllers for a paper machine subsystem
Abstract
7.1: Introduction
7.2: Controller tuning
7.3: Result analysis
7.4: Conclusion
References
Chapter 8: Network and security leveraging IoT and image processing: A quantum leap forward
Abstract
8.1: Introduction
8.2: Comparative study
8.3: Conclusion
References
Chapter 9: Modeling software patching process inculcating the impact of vulnerabilities discovered and disclosed
Abstract
Acknowledgment
9.1: Introduction
9.2: Literature review
9.3: Notations
9.4: Model development
9.5: Model illustration
9.6: Conclusion
References
Chapter 10: Extension of software reliability growth models by several testing-time functions
Abstract
Acknowledgments
10.1: Introduction
10.2: Software reliability assessment using bivariate SRGMs
10.3: Bivariate Weibull-type SRGMs and their application
10.4: Conclusions
References
Chapter 11: A semi-Markov model of a system working under uncertainty
Abstract
Acknowledgment
11.1: Introduction
11.2: Notations
11.3: Development of system model
11.4: Performance measures
11.5: Simulation study
11.6: Concluding remarks
References
Chapter 12: Design and evaluation of parallel-series IRM system
Abstract
12.1: Introduction
12.2: Lagrangean procedure for formulation of the problem function: cj=bjeaj1−rj
12.3: Case problem
12.4: Dynamic programming approach
12.5: The integrated efficiency model by using the dynamic programming method for the function cj=bjeaj1−rj
12.6: Conclusions
Further reading
Chapter 13: Modeling and availability assessment of smart building automation systems with multigoal maintenance
Abstract
13.1: Introduction
13.2: Concept of multigoal maintenance
13.3: Development of models
13.4: Research of models
13.5: Conclusions
References
Chapter 14: A study of bitcoin and Ethereum blockchains in the context of client types, transactions, and underlying network architecture
Abstract
14.1: Blockchain: An insight
14.2: Blockchain architectures
14.3: Blockchain adequacy
14.4: Bitcoin architecture
14.5: Introduction of Ethereum
14.6: Ethereum’s evolution
14.7: Architecture of Ethereum
14.8: Ethereum components
14.9: Conclusion
References
Further reading
Chapter 15: High assurance software architecture and design
Abstract
15.1: Introduction
15.2: Software architecture patterns
15.3: Software design principles
15.4: Software design patterns
15.5: Software design antipatterns
15.6: Conclusion
References
Chapter 16: Online condition monitoring and maintenance of photovoltaic system
Abstract
16.1: Introduction
16.2: Condition monitoring of VRLA battery in PV system
16.3: Condition monitoring of aluminum electrolytic capacitor and MOSFET of power converter in PV system
16.4: Conclusions
References
Chapter 17: Fault diagnosis and fault tolerance
Abstract
Acknowledgment
17.1: Introduction
17.2: Digital systems modeling
17.3: Fault models
17.4: Fault diagnosis test procedures
17.5: Fault diagnosis and fault tolerance
17.6: Conclusions
References
Chapter 18: True power loss diminution by Improved Grasshopper Optimization Algorithm
Abstract
18.1: Introduction
18.2: Problem formulation
18.3: Improved Grasshopper Optimization Algorithm
18.4: Simulation study
18.5: Conclusions
References
Chapter 19: Security analytics
Abstract
19.1: Introduction
19.2: Different classes of security analytics
19.3: Framework of cyber security analytics
19.4: Big data security analytics
19.5: Security analytics for IoT
19.6: Security analytics in anomaly detection
References
Chapter 20: Stochastic modeling of the mean time between software failures: A review
Abstract
Acknowledgments
20.1: Introduction
20.2: Mathematical background
20.3: Application
20.4: Conclusions
References
Chapter 21: Inliers prone distributions: Perspectives and future scopes
Abstract
21.1: Introduction
21.2: Inliers prone models
21.3: Inferences on 0–1 inliers model
21.4: Tests of hypothesis about inliers
21.5: Data analysis
21.6: Inliers-prone distributions: Issues and problems
21.7: Future scopes
References
Chapter 22: Integration of TPM, RCM, and CBM: A practical approach applied in Shipbuilding industry
Abstract
22.1: Introduction
22.2: Maintenance strategies
22.3: Reliability of marine propulsion system: A case study
22.4: Conclusion
References
Chapter 23: Revolutionizing the internet of things with swarm intelligence
Abstract
23.1: Introduction
23.2: Characteristics of IoT
23.3: The consumer IoT
23.4: The industrial IoT
23.5: IoT definitions by various companies
23.6: The industrial internet
23.7: The internet of everything (IoE)
23.8: Cyber physical systems (CPS) and industry 4.0
23.9: The internet of services (IoS)
23.10: The internet of robotic things (IoRT)
23.11: More internet of X terms
23.12: Swarm intelligence
23.13: Definitions of SI
23.14: SI and systems intersections
23.15: Swarm Intelligence and smart gadgets
23.16: Implants & prosthetics
23.17: The swarm behavior of the augmented and quantified human—The next stage of the IoE?
23.18: ANT colony-based IoT systems
23.19: ANT colony optimization (ACO)-based IoT systems
23.20: Particle swarm optimization (PSO)-based IoT systems
23.21: Artificial bee colony (ABC)-based IoT systems
23.22: Bacterial foraging optimization (BFO)-based IoT systems
23.23: BAT optimization (BO)-based IoT systems
23.24: More SI-based IoT systems
23.25: Towards SI-based IoT systems
23.26: SI and its applications
23.27: SI application for IoT processes
23.28: Conclusion
References
Chapter 24: Security and challenges in IoT-enabled systems
Abstract
24.1: Introduction
24.2: Commercialized secure hardware primitive designs
24.3: Hardware trojan
24.4: Side-channel attack (SCA)
24.5: Reverse engineering
24.6: Key challenges
24.7: Conclusion
References
Chapter 25: Provably correct aspect-oriented modeling with UPPAAL timed automata
Abstract
Acknowledgment
25.1: Introduction
25.2: Related work
25.3: Preliminaries
25.4: Provably correct weaving of aspects
25.5: Case study: Home rehabilitation system
25.6: Usability of AO modeling and verification
25.7: Conclusions and discussion
References
Chapter 26: Relevance of data mining techniques in real life
Abstract
26.1: Introduction
26.2: Methodology
26.3: Need of data mining
26.4: Types of data mining
26.5: Data mining techniques
26.6: Categories of data mining techniques
26.7: Applications of data mining methods
26.8: Conclusion
References
Chapter 27: D-PPSOK clustering algorithm with data sampling for clustering big data analysis
Abstract
27.1: Introduction
27.2: Related work
27.3: Proposed work
27.4: Experimental result and discussion
27.5: Conclusion
References
Chapter 28: A review on optimal placement of phasor measurement unit (PMU)
Abstract
28.1: Introduction
28.2: Optimal PMU placement (OPP) problem formulation
28.3: Mathematical programming method
28.4: Meta-heuristic methods
28.5: Heuristic methods
28.6: Algorithm comparison
28.7: Future scope
28.8: Conclusion
References
Chapter 29: Effective motivational factors and comprehensive study of information security and policy challenges
Abstract
29.1: Introduction
29.2: Key information security policies-related challenges
29.3: Organizational approaches to information security
29.4: Network architecture and threat model
29.5: Policy-based SDN security architecture
29.6: Trust
29.7: Privacy
29.8: Privacy and security in cloud computing
29.9: Cloud computing framework
29.10: ABE in cloud computing
29.11: Conclusions
References
Chapter 30: Integration of wireless communication technologies in internet of vehicles for handover decision and network selection
Abstract
30.1: Introduction
30.2: Existing works
30.3: Research method
30.4: Simulation setup
30.5: Comparative analysis and results
30.6: Conclusion
References
Chapter 31: Modeling HIV-TB coinfection with illegal immigrants and its stability analysis
Abstract
Acknowledgments
31.1: Introduction
31.2: The mathematical model
31.3: The mathematical analysis
31.4: Numerical analysis and discussion
References
Further reading
Index

Prashant Johri

Dr. Prashant Johri. Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India. He completed his B.Sc.(H) in 1992 and M.C.A. in 1992 from A.M.U, Aligarh and Ph.D. in Computer Science from Jiwaji University, Gwalior in 2011, India. He has also worked as a Professor and Director (M.C.A.), Galgotias Institute of Management and Technology and Noida Institute of Engineering and Technology, Gr. Noida. He has served as Chair in many conferences in India and Abroad. He has supervised 2 PhD students and M. Tech. students. He published more than 100 research papers in National and International Journals and Conferences. He has published edited books in Elsevier and Springer. He organized several Conferences / Workshops/Seminars at the national and international levels. His research interest includes Artificial Intelligence, Machine Learning, Data Science, Deep Reinforcement Learning, Information Security, Cloud Computing, Block Chain, Healthcare, Agriculture, Image Processing, Software Reliability.

Affiliations and expertise

Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, India

Adarsh Anand

Dr. Adarsh Anand did his Ph.D. in the area of Operational Research. Presently he is working as an Assistant Professor in the Department of Operational Research, University of Delhi (INDIA). He has been conferred with Young Promising Researcher in the field of Technology Management and Software Reliability by Society for Reliability Engineering, Quality and Operations Management in 2012. He is a lifetime member of the Society for Reliability Engineering, Quality and Operations Management. He is also on the editorial board of International Journal of Mathematical, Engineering and Management Sciences. He has edited two books entitled “System reliability Management: Solutions & Technologies” and “Recent Advancements in Software Reliability Assurance”; both by CRC Press Taylor & Francis Group. He has Guest edited several Special Issues for Journals of international repute. His research interest includes software reliability growth modelling, modelling innovation adoption and successive generations in marketing, and social network analysis.

Affiliations and expertise

Assistant Professor, Departmetn of Operational Research, University of Delhi, New Delhi, India

Juri Vain

Prof. Juri Vain graduated in System Engineering from Tallinn Polytechnic Institute, Estonia in 1979. He received his PhD in computer science from the Institute of Cybernetics at Estonian Academy of Sciences in 1987. Currently, he is Tenure Professor of Formal Methods at the Department of Software Science, Tallinn University of Technology. His research interests include formal methods, model-based testing, cyber physical systems, human-computer interaction, autonomous robotics, and artificial intelligence. He has been leading researcher in several international projects under EU framework programs and Centre of Excellence on Human Adaptive Mechatronics at Tokyo Denki University. He has published 200 scientific articles including journal papers, book chapters and conference papers. He has been invited speaker at many international conferences and summer schools. Under his supervision 8 PhD thesis and more than 20 MSc thesis have been defended. He is teaching formal methods, model-based testing and constraint logic programming

Affiliations and expertise

Tenure Professor of Formal Methods, Department of Software Science, Tallinn University of Technology, Tallinn, Estonia

Jagvinder Singh

Dr. Jagvinder Singh is an Assistant Professor at USME, DTU East Campus. He has completed his Ph.D (Operations Research) as well as M.sc (Operations Research) from University of Delhi (D.U). He has more than 8 years of teaching experience at University of Delhi in teaching the students of graduation as well as post graduation level. He has more than 30 research papers published to his credit at various reputed national as well as international journals some of them are published by renowned publishing houses such as Elsevier, Emerald, Taylor &Francis, Springer etc. His area of specialization is Mathematical Modelling in software reliability and management sciences. He is also involved as a supervisor and is guiding 4 of his research scholars.

Affiliations and expertise

Assistant Professor, USME, DTU East Campus, India

Mohammad Tabrez Quasim

Dr.Mohammd Tabrez Quasim received his Ph.D ( Computer Science) from Tilkamanjhi Bhagalpur University and M.C.A. from Punjab Technical University, Punjab, India. Presently he is working as Assistant Professor at University of Bisha, Saudi Arabia. His research interests include but are not limited to IOT, Big Data, Cloud Computing, Blockchain, Wireless Sensors Networks. He has more than 10 year of experience in his research area. He has published many journal articles, Edited Book, Book Chapters and conference papers in various internationally recognized academic databases. He is contributing to the research community by various volunteer activities in the capacity of editor for many journal and conference chair in various reputed IEEE/Springer.

Affiliations and expertise

Assistant Professor, Univeristy of Bisha, Saudi Arabia