Advances in Fuzzy Systems — Applications and Theory - Vol. 16
COMPUTATIONAL INTELLIGENCE IN SOFTWARE ENGINEERING
by W Pedrycz (University of Alberta) & J F Peters (University of Manitoba)
This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering.
The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts?
With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.
Contents:
- Neurocomputing in Software Engineering
- Evolutionary Computing in
Software Engineering
- Granular Computing in Software Engineering
- Non-Cartesian Approach to Software Engineering
- Bibliography and WWW Resources
Readership: Computer scientists, software engineers, computer engineers,
software developers and software process managers.
| 500pp |
Pub. date: Dec 1998 |
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