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Acquisition of software engineering knowledge : SWEEP, an automatic programming system based on genetic programming and cultural algorithms / George S. Cowan, Robert G. Reynolds.

By: Contributor(s): Material type: TextTextSeries: Series on software engineering and knowledge engineering ; v. 14.Publication details: Singapore ; River Edge, N.J. : World Scientific, ©2003.Description: 1 online resource (156 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789812791399
  • 9812791396
Subject(s): Genre/Form: Additional physical formats: Print version:: Acquisition of software engineering knowledge.DDC classification:
  • 006.3/32 22
LOC classification:
  • QA76.623 .C69 2003eb
Other classification:
  • 54.52
Online resources:
Contents:
Ch. 1. Introduction -- Ch. 2. SWEEP: A System for the Software Engineering of Evolving Programs -- Ch. 3. The Genetic Programming Element Agents -- Ch. 4. The Metrics Apprentice: Using Cultural Algorithms to Formulate Quality Metrics for Software Systems -- Ch. 5. An Example Problem for Automatic Programming: Solving the Noisy Sine Problem with Discipulus -- Ch. 6. Data Collection and Analysis -- Ch. 7. Analysis: The Relationship of Software Metrics to Bloat -- Ch. 8. Defining a New Software Metric To Estimate Generalization Using the Metrics Apprentice -- Ch. 9. Conclusion.
Summary: This is the first book that attempts to provide a framework in which to embed an automatic programming system based on evolutionary learning (genetic programming) into a traditional software engineering environment. As such, it looks at how traditional software engineering knowledge can be integrated with an evolutionary programming process in a symbiotic way.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Includes bibliographical references (pages 147-154) and index.

Ch. 1. Introduction -- Ch. 2. SWEEP: A System for the Software Engineering of Evolving Programs -- Ch. 3. The Genetic Programming Element Agents -- Ch. 4. The Metrics Apprentice: Using Cultural Algorithms to Formulate Quality Metrics for Software Systems -- Ch. 5. An Example Problem for Automatic Programming: Solving the Noisy Sine Problem with Discipulus -- Ch. 6. Data Collection and Analysis -- Ch. 7. Analysis: The Relationship of Software Metrics to Bloat -- Ch. 8. Defining a New Software Metric To Estimate Generalization Using the Metrics Apprentice -- Ch. 9. Conclusion.

Print version record.

This is the first book that attempts to provide a framework in which to embed an automatic programming system based on evolutionary learning (genetic programming) into a traditional software engineering environment. As such, it looks at how traditional software engineering knowledge can be integrated with an evolutionary programming process in a symbiotic way.

WorldCat record variable field(s) change: 650

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