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Springer Series in Reliability Engineering
cover

Optimization Models in Software Reliability

Editors: Aggarwal, Anu G., Tandon, Abhishek, Pham, Hoang (Eds.)

  • Presents an in-depth discussion of present-day practices in software reliability engineering
  • Describes how optimization tools can benefit decision making within software development
  • Provides step-by-step strategies to assess software failure behavior and utilize optimization techniques
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eBook $129.00
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  • The eBook version of this title will be available soon
  • Due: 25 de Novembro de 2021
  • ISBN 978-3-030-78919-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $169.99
price for Brazil
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 28 de Outubro de 2021
  • ISBN 978-3-030-78918-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this book

The book begins with an introduction to software reliability, models and techniques. The book is an informative book covering the strategies needed to assess software failure behaviour and its quality, as well as the application of optimization tools for major managerial decisions related to the software development process. It features a broad range of topics including software reliability assessment and apportionment, optimal allocation and selection decisions and upgradations problems.

It moves through a variety of problems related to the evolving field of optimization of software reliability engineering, including software release time, resource allocating, budget planning and warranty models, which are each explored in depth in dedicated chapters.

This book provides a comprehensive insight into present-day practices in software reliability engineering, making it relevant to students, researchers, academics and practising consultants and engineers.

About the authors

Dr. Anu G Aggarwal is Professor in Department of Operational Research, University of Delhi with more than 20 years of teaching and Research Experience. She is an active researcher with more than 150 research publications in International peer reviewed journals, books chapters and International & National conference proceedings. She has guided more than 20 MPhil and 5 PhD students; served as Technical chair, Co-chair for a number of International Conferences; undertaken a number of Research Projects funded by Govt. Agencies; Delivered invited talks at International Conferences and served as Resource Person at Faculty Development Programs. She has been awarded the Young Researcher Award for Applications of Soft Computing Techniques in Software Reliability awarded at 4th International Conference on Quality, Reliability and Infocom Technology (Trends and Future Directions) in 2009. Her key research interests include Reliability Growth modelling for Software systems and applications of Soft Computing Techniques; mathematical modelling and optimization in Consumer Buying Behaviour, Innovation-Diffusion modelling; Multi-Criteria decision making techniques.

Abhishek Tandon received his Ph.D. degree in Software Reliability and Marketing from the Department of Operational Research, University of Delhi. He is currently working as Senior Assistant Professor in Shaheed Sukhdev College of Business Studies, University of Delhi. He has served as Deputy Director (Research) in the Indian Council of Social Science Research (ICSSR), Delhi, India. He has published papers in the field of reliability modelling, optimization theory, forecasting and marketing research. He was awarded the Meritorious Teacher Award by the Government of NCT of Delhi for the year 2016-17. He is Life Member of the Society for Reliability Engineering, Quality and Operations Management (SREQOM).

Hoang Pham is Distinguished Professor and former Chairman (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University. He has served as Editor-in-Chief, Editor, Associate Editor and Board Member of many journals. He is Editor of Springer Book Series in Reliability Engineering and has served as Conference Chair and Programme Chair of over 40 international conferences and workshops. Dr. Pham is Author or Co-author of 7 books, has published over 200 journal articles and 100 conference papers, and edited 15 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. Dr. Pham 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. Dr. Pham is Fellow of the IEEE and IISE.

Buy this book

eBook $129.00
price for Brazil
  • The eBook version of this title will be available soon
  • Due: 25 de Novembro de 2021
  • ISBN 978-3-030-78919-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $169.99
price for Brazil
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 28 de Outubro de 2021
  • ISBN 978-3-030-78918-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Optimization Models in Software Reliability
Editors
  • Anu G. Aggarwal
  • Abhishek Tandon
  • Hoang Pham
Series Title
Springer Series in Reliability Engineering
Copyright
2022
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-78919-0
DOI
10.1007/978-3-030-78919-0
Hardcover ISBN
978-3-030-78918-3
Series ISSN
1614-7839
Edition Number
1
Number of Pages
XII, 346
Number of Illustrations
81 b/w illustrations
Topics