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Automatic Re-engineering of Software Using Genetic Programming

  • Book
  • © 2000

Overview

Authors:
  1. Conor Ryan

    1. University of Limerick, Ireland

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Part of the book series: Genetic Programming (GPEM, volume 2)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Conor Ryan
    Pages 1-4

  3. Genetic Programming

    • Conor Ryan
    Pages 5-15

  4. Software Re-Engineering

    • Conor Ryan
    Pages 17-30

  5. Multi-Objective Problems

    • Conor Ryan
    Pages 31-64

  6. Paragen I

    • Conor Ryan
    Pages 65-80

  7. Practical Considerations

    • Conor Ryan
    Pages 81-101

  8. Paragen II

    • Conor Ryan
    Pages 103-130

  9. Conclusions

    • Conor Ryan
    Pages 131-134

  10. Back Matter

    Pages 135-140
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Keywords

About this book

Automatic Re-engineering of Software Using Genetic Programming describes the application of Genetic Programming to a real world application area - software re-engineering in general and automatic parallelization specifically. Unlike most uses of Genetic Programming, this book evolves sequences of provable transformations rather than actual programs. It demonstrates that the benefits of this approach are twofold: first, the time required for evaluating a population is drastically reduced, and second, the transformations can subsequently be used to prove that the new program is functionally equivalent to the original.
Automatic Re-engineering of Software Using Genetic Programming shows that there are applications where it is more practical to use GP to assist with software engineering rather than to entirely replace it. It also demonstrates how the author isolated aspects of a problem that were particularly suited to GP, and used traditional software engineering techniques in those areas for which they were adequate.
Automatic Re-engineering of Software Using Genetic Programming is an excellent resource for researchers in this exciting new field.

Authors and Affiliations

  • University of Limerick, Ireland

    Conor Ryan

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