Computational intelligence in software quality assurance
Author(s)
Bibliographic Information
Computational intelligence in software quality assurance
（Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 63）
World Scientific, c2005
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Note
Includes bibliographical references (p. 157-177)
Description and Table of Contents
Description
Software systems surround us. Software is a critical component in everything from the family car through electrical power systems to military equipment. As software plays an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining are brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.
Table of Contents
- Overview of Software Engineering
- Artificial Intelligence in Software Engineering
- Computational Intelligence
- Computational Intelligence in Software Engineering
- Software Quality
- Software Testing
- Artificial Intelligence in Software Testing
- Computational Intelligence in Software Testing
- Reliability Engineering for Software
- Nonlinear Time Series Analysis
- Experimental Results
- Review of Related Work
- Software Change and Software Characteristic Datasets
- Fuzzy Cluster Analysis
- Data Mining
- Machine Learning in Skewed Datasets
- Experimental Results
- Proposed Usage.
by "Nielsen BookData"
