Software Engineering with Computational Intelligence

Jonathan Lee

282 pages, parution le 27/03/2003

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Résumé

This book invites the reader to explore how the latest technologies developed in computational intelligence can be extended and applied to software engineering. Leading experts demonstrate how this recent confluence of software engineering and computational intelligence provides a powerful tool to address the increasing demand for complex applications in diversified areas, the ever-increasing complexity and size of software systems, and the inherently imperfect nature of information.
The treatments presented for software modeling and formal analysis permit the extension of computational intelligence to various phases in software life cycles, such as managing fuzziness resident in the requirements, coping with fuzzy objects and imprecise knowledge, and handling uncertainty encountered in quality prediction.

Contents

Introduction to Software Engineering with Computational Intelligence
Fuzzy Concepts and Formal Methods
Trade-off Requirement Engineering
A Generalized Object-Oriented Data Model Based on Level-2 Fuzzy Sets
Modeling Imperfect Spatial Information in a Fuzzy Object Oriented Database
Using Classical Object-Oriented Features to Build a FOODBS
Domain Analysis for the Engineering of Spatiotemporal Software
Object-Oriented Framework of Fuzzy Knowledge Systems
Fuzzy Evaluation of Domain Knowledge
Application of Fuzzy Rule Extraction to Minimize the Costs of Misclassification on Software Quality Modeling
Processing Software Engineering Data: Granular-based Approach

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Jonathan Lee
Parution	27/03/2003
Nb. de pages	282
Format	16 x 24
Couverture	Relié
Poids	535g
Intérieur	Noir et Blanc
EAN13	9783540004721