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Software Engineering with Computational Intelligence

  • Book
  • © 2003

Overview

Editors:
  1. Jonathan Lee

    1. Dept. of Computer Science, National Central University, Taiwan R.O.C

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  • State of the art of technologies developed in computational intelligence applied and extended to software engineering
  • Presentation of software systems dealing with complex applications and imprecise and uncertain information

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 121)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XI
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  2. Introduction to Software Engineering with Computational Intelligence

    • Jonathan Lee
    Pages 1-7

  3. Fuzzy Concepts and Formal Methods

    • Chris Matthews, Paul A. Swatman
    Pages 9-49

  4. Trade-off Requirement Engineering

    • Jonathan Lee, Jong-Yih Kuo, Nien-Lin Hsueh, Yong-Yi Fanjiang
    Pages 51-72

  5. A Generalized Object-Oriented Data Model Based on Level-2 Fuzzy Sets

    • Guy de Tré, Rita de Caluwe, Jörg Verstraete, Axel Hallez
    Pages 73-108

  6. Modelling Imperfect Spatial Information in a Fuzzy Object Oriented Database

    • Gloria Bordogna, Sergio Chiesa
    Pages 109-129

  7. Using Classical Object-Oriented Features to Build a Fuzzy O-O Database System

    • Fernando Berzal, Nicolás Marín, Olga Pons, María Amparo Vila
    Pages 131-155

  8. Domain Analysis for the Engineering of Spatiotemporal Software

    • Ali Dogru, Adnan Yazici
    Pages 157-170

  9. Object-Oriented Framework of Fuzzy Knowledge Systems

    • Mong-Fong Horng, Shiuh-Chu Lee, Yau-Hwang Kuo
    Pages 171-182

  10. Fuzzy Evaluation of Domain Knowledge

    • Bedir Tekinerdoğan, Mehmet Aksit
    Pages 183-201

  11. Application of Fuzzy Rule Extraction to Minimize the Costs of Misclassification on Software Quality Modeling

    • Zhiwei Xu, Taghi M. Khoshgoftaar
    Pages 203-241

  12. Processing Software Engineering Data: Granular-based Approach

    • Marek Reformat, Witold Pedrycz
    Pages 243-268

  13. Back Matter

    Pages 269-270
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Keywords

About this book

It is not an exaggeration to view Professor Lee's book," Software Engineer­ ing with Computational Intelligence," or SECI for short, as a pioneering contribution to software engineering. Breaking with the tradition of treat­ ing uncertainty, imprecision, fuzziness and vagueness as issues of peripheral importance, SECI moves them much closer to the center of the stage. It is ob­ vious, though still not widely accepted, that this is where these issues should be, since the real world is much too complex and much too ill-defined to lend itself to categorical analysis in the Cartesian spirit. As its title suggests, SECI employs the machineries of computational intel­ ligence (CI) and, more or less equivalently, soft computing (SC), to deal with the foundations and principal issues in software engineering. Basically, CI and SC are consortia of methodologies which collectively provide a body of con­ cepts and techniques for conception, design, construction and utilization of intelligent systems. The principal constituents of CI and SC are fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing, chaotic computing and machine learning. The leitmotif of CI and SC is that, in general, better performance can be achieved by employing the constituent methodologies of CI and SC in combination rat her than in a stand-alone mode. In what follows, I will take the liberty of focusing my attention on fuzzy logic and fuzzy set theory, and on their roles in software engineering. But first, a couple of points of semantics which are in need of clarification.

Editors and Affiliations

  • Dept. of Computer Science, National Central University, Taiwan R.O.C

    Jonathan Lee

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