Software Reliability Assessment with OR Applications

ISBN-13: 9780857292032 / Angielski / Twarda / 2011 / 574 str.

P. K. Kapur; H. Pham; A. Gupta

Opis

This text provides a comprehensive guide to software reliability measurement, prediction and control. Readers will find solutions to decision-making problems that software developers and engineers often face. It can also be used as a textbook for advanced undergraduate or postgraduate courses in software reliability, industrial engineering, and operations research and management.

Recenzje

From the reviews:

"This book describes all demands and requirements of the SRE discipline. Moreover, it presents the state-of-art modeling of the software reliability over the past 40 years in one place. Many optimization applications of the software reliability modeling solved using the tools of operational research are also discussed in this book. ... This very useful book contains also many appendices, index terms, references, and exercises." (Jerzy Martyna, Zentralblatt MATH, Vol. 1235, 2012)

Spis treści

1. Introduction.- 2. Software Reliability Growth Models.- 3. Imperfect Debugging / Testing Efficiency Software Reliability Growth Models.- 4. Testing-Coverage and Testing-Domain Models.- 5. Change Point Models.- 6.- Unification of SRGM.- 7. Artificial Neural Networks Based SRGM.- 8. SRGM Using SDE.- 9. Discrete SRGM.- 10. Software Release Time Decision Problems Introduction.- 11. Allocation Problems at Unit Level Testing.- 12. Fault Tolerant Systems.

O autorze

Prof. P.K. Kapur obtained his PhD in Operational Research from University of Delhi in 1977. He is a professor and former head of the Department of Operational Research, University of Delhi. He is a regional editor of International Journal of Performability Engineering and area editor of OPSEARCH, the journal of Operational Research Society of India. He has edited special issues of International Journal of Reliability, Quality and Safety Engineering (2004, 2007), OPSEARCH, India (2005, 2008), International Journal of Performability Engineering (IJPE India, 2006) and Communications In Dependability and Quality Management - An International Journal (2007). He organized the International Conference on Quality Reliability and Information Technology in 2000, 2003, 2006 and 2009. He has published more than 150 research papers in the areas of hardware reliability, optimization, queuing theory, maintenance, and software reliability. He has edited three volumes on quality, reliability and IT and one on advances in performance and safety of complex systems. He has co-authored a book, Contributions to Hardware and Software Reliability, and he has contributed chapters in several edited books including some published by Springer. He has guided MTech / PhD theses in Computer Science, as well as in Operations Research. He has travelled extensively in India and abroad, and delivered invited talks. He is cited in Marquis Who’s Who in the World. His research interests include hardware and software reliability, optimization, queuing theory, innovation diffusion modeling, numerical computation of stochastic models and marketing. He is a former president of Operational Research Society of India. Currently, he is president of Society for Reliability Engineering, Quality and Operations Management.
 
Prof. H. Pham received his PhD in Industrial Engineering from State University of New York at Buffalo. He is a professor and chairman of the Department of Industrial and Systems Engineering at Rutgers University, Piscataway, New Jersey. Before joining Rutgers, he was a senior engineering specialist with the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. He is the author or co-author of five books such as Software Reliability (Springer 2000), System Software Reliability (Springer 2006), Reliability and Optimal Maintenance (Springer 2006) and Maintenance for Industrial Systems. He has edited more than 10 volumes including Handbook of Reliability Engineering (Springer 2003), Handbook of Engineering Statistics (Springer 2006), and Recent Advances in Reliability and Quality in Design (Springer 2008); among many others. He is also the editor of Springer Series in Reliability Engineering and has published more than 100 journal articles, and 30 book chapters. He is the editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering and is an editorial board member of several journals. He is an associate editor of IEEE Transactions on Systems, Man, and Cybernetics. He has been the conference chair and program chair of over 25 international conferences and workshops, including the 17th International Conference on Reliability and Quality in Design, Vancouver B.C., 2011. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and environmental risk assessment. His recent awards include 2009 IEEE Reliability Society Engineer of the Year Award. He is a fellow of the IEEE.
 
Anshu Gupta obtained her PhD, MPhil and MSc degrees in Operational Research from University of Delhi, Delhi in 2009, 2005 and 2003, respectively. She is currently an assistant professor in the Department of Operational Research, University of Delhi, Delhi. She was gold medalist in the master’s degree, 2003. She has published several papers in the area of software reliability and marketing. Her research interests include modeling and optimization in software reliability and marketing. She is a member of the Society for Reliability Engineering, Quality and Operations Management.
 
Dr. P.C. Jha obtained his PhD, MPhil and MSc degrees in Operational Research from University of Delhi in 1986, 1988 and 2004, respectively. He is an associate professor in the Department of Operational Research, University of Delhi. He has organised a DST-sponsored national workshop cum conference on mathematical modeling optimization and its application, the 41st Annual Convention of Operational Research Society of India, and a DST-sponsored workshop on optimization and its applications in 2007. He is currently editing a volume on modeling optimization and application. He has contributed a chapter to the edited book Handbook of Performability Engineering, published by Springer. He has published more than 25 research papers in the areas of software reliability, marketing and optimization in Indian and international journals and edited books. He has guided master’s projects, MBA and MPhil dissertations and PhD students in Operational Research. His research interests include modeling and optimization in software reliability and marketing.

Blurb

Software Reliability Assessment with OR Applications is a comprehensive guide to software reliability measurement, prediction, and control. It provides a thorough understanding of the field and gives solutions to the decision-making problems that concern software developers, engineers, practitioners, scientists, and researchers. Using operations research techniques, readers will learn how to solve problems under constraints such as cost, budget and schedules to achieve the highest possible quality level.
 
Software Reliability Assessment with OR Applications is a comprehensive text on software engineering and applied statistics, state-of-the art software reliability modeling, techniques and methods for reliability assessment, and related optimization problems. It addresses various topics, including:

• unification methodologies in software reliability assessment; 
• application of neural networks to software reliability assessment;
• software reliability growth modeling using stochastic differential equations;
• software release time and resource allocation problems; and
• optimum component selection and reliability analysis for fault tolerant systems.

Software Reliability Assessment with OR Applications is designed to cater to the needs of software engineering practitioners, developers, security or risk managers, and statisticians. It can also be used as a textbook for advanced undergraduate or postgraduate courses in software reliability, industrial engineering, and operations research and management.