Automatic Re-engineering of Software Using Genetic Programming - Info and Reading Options
By Conor Ryan

"Automatic Re-engineering of Software Using Genetic Programming" was published by Springer US in 2000 - Boston, MA, it has 140 pages and the language of the book is English.
“Automatic Re-engineering of Software Using Genetic Programming” Metadata:
- Title: ➤ Automatic Re-engineering of Software Using Genetic Programming
- Author: Conor Ryan
- Language: English
- Number of Pages: 140
- Publisher: Springer US
- Publish Date: 2000
- Publish Location: Boston, MA
“Automatic Re-engineering of Software Using Genetic Programming” Subjects and Themes:
- Subjects: Software engineering - Computer science - Artificial intelligence
Edition Specifications:
- Format: [electronic resource] /
- Pagination: ➤ 1 online resource (xiii, 140 p.)
Edition Identifiers:
- The Open Library ID: OL27019403M - OL19829243W
- Online Computer Library Center (OCLC) ID: 851746195
- ISBN-13: 9781461370949 - 9781461546313
- ISBN-10: 1461370949 - 1461546311
- All ISBNs: 1461370949 - 1461546311 - 9781461370949 - 9781461546313
AI-generated Review of “Automatic Re-engineering of Software Using Genetic Programming”:
"Automatic Re-engineering of Software Using Genetic Programming" Description:
The Open Library:
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.
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