Acquisition Of Software Engineering Knowledge - Sweep: An Automatic Programming System Based On Genetic Programming And Cultural Algorithms
eBook - PDF

Acquisition Of Software Engineering Knowledge - Sweep: An Automatic Programming System Based On Genetic Programming And Cultural Algorithms

SWEEP: An Automatic Programming System Based on Genetic Programming and Cultural Algorithms

  1. 164 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Acquisition Of Software Engineering Knowledge - Sweep: An Automatic Programming System Based On Genetic Programming And Cultural Algorithms

SWEEP: An Automatic Programming System Based on Genetic Programming and Cultural Algorithms

About this book

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.

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Yes, you can access Acquisition Of Software Engineering Knowledge - Sweep: An Automatic Programming System Based On Genetic Programming And Cultural Algorithms by Robert G Reynolds, George S Cowan in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Algorithms. We have over one million books available in our catalogue for you to explore.

Table of contents

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