Ebook: Software Reliability Assessment with OR Applications
- Tags: Quality Control Reliability Safety and Risk, Performance and Reliability, Software Engineering, Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences, Engineering Economics Organization Logistics Marketi
- Series: Springer Series in Reliability Engineering
- Year: 2011
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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.
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.
Content:
Front Matter....Pages i-xxiii
Introduction....Pages 1-47
Software Reliability Growth Models....Pages 49-95
Imperfect Debugging/Testing Efficiency Software Reliability Growth Models....Pages 97-130
Testing-Coverage and Testing-Domain Models....Pages 131-170
Change-Point Models....Pages 171-213
Unification of SRGM....Pages 215-253
Artificial Neural Networks Based SRGM....Pages 255-282
SRGM Using SDE....Pages 283-312
Discrete SRGM....Pages 313-346
Software Release Time Decision Problems....Pages 347-403
Allocation Problems at Unit Level Testing....Pages 405-449
Fault Tolerant Systems....Pages 451-512
Back Matter....Pages 513-548
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.
Content:
Front Matter....Pages i-xxiii
Introduction....Pages 1-47
Software Reliability Growth Models....Pages 49-95
Imperfect Debugging/Testing Efficiency Software Reliability Growth Models....Pages 97-130
Testing-Coverage and Testing-Domain Models....Pages 131-170
Change-Point Models....Pages 171-213
Unification of SRGM....Pages 215-253
Artificial Neural Networks Based SRGM....Pages 255-282
SRGM Using SDE....Pages 283-312
Discrete SRGM....Pages 313-346
Software Release Time Decision Problems....Pages 347-403
Allocation Problems at Unit Level Testing....Pages 405-449
Fault Tolerant Systems....Pages 451-512
Back Matter....Pages 513-548
....