The Springer International Series in Engineering and Computer Science

Software Engineering with Computational Intelligence

Editors: Khoshgoftaar, Taghi M. (Ed.)

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About this book

The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet these and other continuously growing challenges by developing and implementing useful software engineering methodologies. Among the more recent advances are those made in the context of software portability, formal verification· techniques, software measurement, and software reuse. However, despite the introduction of some important and useful paradigms in the software engineering discipline, their technological transfer on a larger scale has been extremely gradual and limited. For example, many software development organizations may not have a well-defined software assurance team, which can be considered as a key ingredient in the development of a high-quality and dependable software product. Recently, the software engineering field has observed an increased integration or fusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorithms, genetic programming, and rough sets. Hybrid systems that combine two or more of these individual technologies are also categorized under the Cl umbrella. Software engineering is unlike the other well-founded engineering disciplines, primarily due to its human component (designers, developers, testers, etc. ) factor. The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and software testing.

Table of contents (12 chapters)

  • Applying Machine Learners to GUI Specifications in Formulating Early Life Cycle Project Estimations

    Boetticher, Gary D.

    Pages 1-16

    Preview Buy Chapter 24,95 €
  • Applying Fuzzy Logic Modeling to Software Project Management

    MacDonell, Stephen G. (et al.)

    Pages 17-43

    Preview Buy Chapter 24,95 €
  • Integrating Genetic Algorithms With Systems Dynamics To Optimize Quality Assurance Effort Allocation

    Ramesh, Balasubramaniam (et al.)

    Pages 44-68

    Preview Buy Chapter 24,95 €
  • Improved Fault-Prone Detection Analysis of Software Modules Using an Evolutionary Neural Network Approach

    Hochman, Robert (et al.)

    Pages 69-100

    Preview Buy Chapter 24,95 €
  • A Fuzzy Model and the AdeQuaS Fuzzy Tool: a theoretical and a practical view of the Software Quality Evaluation

    Oliveira, Kelly R. (et al.)

    Pages 101-135

    Preview Buy Chapter 24,95 €

Buy this book

eBook 130,89 €
price for India (gross)
  • ISBN 978-1-4615-0429-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 164,99 €
price for India (gross)
  • ISBN 978-1-4020-7427-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover 164,99 €
price for India (gross)
  • ISBN 978-1-4613-5072-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Software Engineering with Computational Intelligence
Editors
  • Taghi M. Khoshgoftaar
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
731
Copyright
2003
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-0429-0
DOI
10.1007/978-1-4615-0429-0
Hardcover ISBN
978-1-4020-7427-1
Softcover ISBN
978-1-4613-5072-9
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XI, 361
Topics