Software Reliability Assessment with OR Applications
Series: Springer Series in Reliability Engineering;
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Product details:
- Edition number 2011
- Publisher Springer London
- Date of Publication 12 July 2013
- Number of Volumes 1 pieces, Previously published in hardcover
- ISBN 9781447126522
- Binding Paperback
- See also 9780857292032
- No. of pages548 pages
- Size 235x155 mm
- Weight 866 g
- Language English
- Illustrations XXIV, 548 p. Tables, black & white 0
Categories
Long description:
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.
MoreTable of Contents:
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.
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