Software Reliability Assessment with OR Applications
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Beschreibung
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.
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.
Addresses most of the existing research into techniques to measure system reliability Provides a complete guide to measuring and assessing software reliability Includes new concept maps to facilitate the reader's understanding
Autor*in
P.K. Kapur
Themen in »Software Reliability Assessment with OR Applications«
Applied Statistics and Mathematics CP6917 Industrial Engineering Operations Research Quantitative Quality Assessment Software Reliability Engineering quality control, reliability, safety and risk Engineering Economics
Stimmen zu »Software Reliability Assessment with OR Applications«
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)
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