<P>The world needs an in-depth technical book describing the methods and techniques used to provide confidence in our system software. In todayβs market, not only are governments more focused on software safety, but private industry and academia are as well. The methods and techniques used to provid
Software Verification and Validation: An Engineering and Scientific Approach
β Scribed by Marcus S. Fisher (auth.)
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Leaves
- 177
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The World is lacking an in-depth technical book describing the methods and techniques used to provide confidence in our system software. Not only is the U.S. government more focused on software safety in today's market, but private industry and academia are as well. The methods and techniques that provide such confidence are commonly called software verification and validation.
Software Verification and Validation: An Engineering and Scientific Approach, a professional book, fills the critical need for an in-depth technical reference providing the methods and techniques for building and maintaining confidence in many varieties of system software. The intent of this volume is to help develop reliable answers to such critical questions as:
1) Are we building the right software for the need?
2) Are we building the software right?
Software Verification and Validation: An Engineering and Scientific Approach is structured for research scientists and practitioners in industry. This book is also suitable as a secondary textbook for advanced-level students in computer science and engineering.
β¦ Table of Contents
Front Matter....Pages i-ix
Introduction....Pages 1-6
Managing Verification and Validation....Pages 7-83
The Verification and Validation Life Cycle....Pages 85-154
Systems V&V....Pages 155-162
Back Matter....Pages 163-172
β¦ Subjects
Programming Techniques; Software Engineering/Programming and Operating Systems; Performance and Reliability; Artificial Intelligence (incl. Robotics); Software Engineering
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