Automatic Re-engineering of Software Using Genetic Programming

Conor Ryan

ISBN 10: 1461370949 / ISBN 13: 9781461370949

Published by Springer US, Springer US Nov 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch.

Seller Inventory # 9781461370949

Bibliographic Details

• Title: Automatic Re-engineering of Software Using Genetic Programming
• Publisher: Springer US, Springer US Nov 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1461370949
• ISBN 13: 9781461370949
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.