Computational Intelligence and Quantitative Software Engineering

  • Witold Pedrycz
  • Giancarlo Succi
  • Alberto Sillitti

Part of the Studies in Computational Intelligence book series (SCI, volume 617)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
    Pages 1-12
  3. Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
    Pages 13-31
  4. Roberto E. Lopez-Herrejon, Javier Ferrer, Francisco Chicano, Alexander Egyed, Enrique Alba
    Pages 59-87
  5. Valerio Bellandi, Stelvio Cimato, Ernesto Damiani, Gabriele Gianini
    Pages 173-207

About this book


In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts. It shows how the paradigm and the best practices of Computational Intelligence can be creatively explored to carry out comprehensive software requirement analysis, support design, testing, and maintenance.

Software Engineering is an intensive knowledge-based endeavor of inherent human-centric nature, which profoundly relies on acquiring semiformal knowledge and then processing it to produce a running system. The knowledge spans a wide variety of artifacts, from requirements, captured in the interaction with customers, to design practices, testing, and code management strategies, which rely on the knowledge of the running system. This volume consists of contributions written by widely acknowledged experts in the field who reveal how the Software Engineering benefits from the key foundations and synergistically existing technologies of Computational Intelligence being focused on knowledge representation, learning mechanisms, and population-based global optimization strategies.

This book can serve as a highly useful reference material for researchers, software engineers and graduate students and senior undergraduate students in Software Engineering and its sub-disciplines, Internet engineering, Computational Intelligence, management, operations research, and knowledge-based systems.


Computational Intelligence Intelligent Systems Principles of Software Engineering Quantitative Software Engineering Software Engineering

Editors and affiliations

  • Witold Pedrycz
    • 1
  • Giancarlo Succi
    • 2
  • Alberto Sillitti
    • 3
  1. 1.Department of Electrical and Computer EnUniversity of AlbertaEdmontonCanada
  2. 2.Innopolis UniversityBolzanoItaly
  3. 3.Center for Applied Software EngineeringBolzanoItaly

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-25962-8
  • Online ISBN 978-3-319-25964-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site