Computational intelligence in software engineering

著者

書誌事項

Computational intelligence in software engineering

W. Pedrycz, J. F. Peters

（Advances in fuzzy systems : applications and theory, vol. 16）

World Scientific Pub., c1998

大学図書館所蔵 件 / 全7件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

  • 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.

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