Software Reliability Assessment with OR Applications

Software Reliability Assessment with OR Applications

EnglishHardbackPrint on demand
Kapur, P.K.
Springer London Ltd
EAN: 9780857292032
Print on demand
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Detailed information

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.

EAN 9780857292032
ISBN 085729203X
Binding Hardback
Publisher Springer London Ltd
Publication date May 18, 2011
Pages 548
Language English
Dimensions 235 x 155
Country United Kingdom
Readership Professional & Scholarly
Authors Gupta, A.; Jha, P.C.; Kapur, P.K.; Pham Hoang
Illustrations XXIV, 548 p.
Series Springer Series in Reliability Engineering
Manufacturer information
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