
Computational Intelligence In Software Engineering, Advances In Fuzzy Systems: Applications And Theory
World Scientific Publishing Co Pte Ltd
Will be published approx. on 29. December 1998
Book
Hardback
500 pages
978-981-02-3503-1 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Product notice
Laminated cover
Dimensions
Height: 229 mm
Width: 152 mm
Weight
18 gr
ISBN-13
978-981-02-3503-1 (9789810235031)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Approximate reasoning about comlpex objects in distributed systems - rough mereological formulation; FOOD - fuzzy object-oriented design; approximating block access in database systems; the computer zoo in a box; expert system design; automating creation of computer programs for design circuits using genetic programming; self-organizing maps; knowledge-based techniques for software quality management; object networks in developing intelligent systems; application of genetic programming in software quality prediction; neural networks for software quality prediction; fuzzy Petri nets and Choquet integral in software cost estimation; non-Cartesian approach to software development; inductive programming.