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System Assurances - 1st Edition - ISBN: 9780323902403

System Assurances

1st Edition

Modeling and Management

Editors: Prashant Johri Adarsh Anand Juri Vain Jagvinder Singh Mohammad Quasim
Paperback ISBN: 9780323902403
Imprint: Academic Press
Published Date: 1st March 2022
Page Count: 450
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Table of Contents

1. Software Reliability Modeling
2. Software Performance and System Safety
3. Risk informed Software Management.
4. Applications of system reliability modeling and allocation.
5. Software quality and security models
6. Optimization Problems for software development
7. Reliability analysis, assurance techniques for software systems
8. Methodologies, tools and practical applications of software reliability modeling
9. Testing resources allocation Modeling
10. Robust reliability design techniques,
11. diagnostic and decision support
12. Software failure and fault data analysis techniques
13. Stochastic modelling for Software Systems


System Assurances: Modeling and Management provides system assurance and performance methods using advanced analytics and understanding of the software reliability growth modeling from today’s debugging team’s point of view and preventive and predictive maintenance with efficient usage of testing resources.

This 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.

Key Features

  • Provides software reliability modeling, simulation, and optimization
  • Offers methodologies, tools, and practical applications of reliability modeling and resources allocation
  • Presents cost modeling and optimization associated with complex systems


Academia, Researcher in software engineering and information sciences working in the field of modelling. Undergraduate and Postgraduate in engineering. Professionals in research groups of large companies, Universities and Research institutes involved in the epidemiology analysis and working to fight against global outbreaks


No. of pages:
© Academic Press 2022
1st March 2022
Academic Press
Paperback ISBN:

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About the Editors

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 (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 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