
Automatic Re-engineering of Software Using Genetic Programming
Conor Ryan(Author)
Kluwer Academic Publishers
Published on 30. November 1999
Book
Hardback
XIII, 140 pages
978-0-7923-8653-7 (ISBN)
Description
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.
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.
More details
Series
Edition
2000 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIII, 140 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 14 mm
Weight
410 gr
ISBN-13
978-0-7923-8653-7 (9780792386537)
DOI
10.1007/978-1-4615-4631-3
Schweitzer Classification
Other editions
Additional editions

Book
11/2012
Springer
€106.99
Shipment within 7-9 days
Content
1. Introduction.- 1.1 Software Re-Engineering.- 1.2 Auto-parallelization.- 1.3 Genetic Programming.- 1.4 Outline.- 2. Genetic Programming.- 2.1 Introduction.- 2.2 Evolution and Natural Selection.- 2.3 Evolutionary Algorithms.- 2.4 The Simple Genetic Algorithm.- 2.5 Genetic Programming.- 2.6 Other Evolutionary Algorithms.- 2.7 Advanced topics in Evolutionary Algorithms.- 2.8 Evolution and Learning.- 2.9 Summary.- 3. Software Re-Engineering.- 3.1 Introduction.- 3.2 Auto-parallelization.- 3.3 Parallel Programming.- 3.4 Parallelization Problems.- 3.5 Parallel Compilers.- 3.6 On using Genetic Programming.- 3.7 An Automatic Parallelization System.- 3.8 Summary.- 4. Multi-Objective Problems.- 4.1 Introduction.- 4.2 Example Problem - Sorting Networks.- 4.3 Maintaining Diversity In Artificial Evolution.- 4.4 Pygmies And Civil Servants.- 4.5 Gender or Race?.- 4.6 Multi-modal Functions.- 4.7 Conclusion.- 5. Paragen I.- 5.1 Introduction.- 5.2 Problem Statement.- 5.3 Paragen - The First Results.- 5.4 Paragen and Races.- 5.5 Engineering vs. Re-Engineering.- 5.6 Conclusion.- 6. Practical Considerations.- 6.1 Provability.- 6.2 Scalability.- 6.3 Loop Complexity.- 6.4 Communication and Scheduling.- 6.5 Multiprocessor Scheduling.- 6.6 Genetic Algorithms.- 6.7 Conclusions.- 7. Paragen II.- 7.1 Transformations.- 7.2 Atoms and Loops.- 7.3 Atoms, loops and modes.- 7.4 Genetic Structure.- 7.5 Example Individual.- 7.6 Conclusion.- 8. Conclusions.- 8.1 Future Work.- 8.2 Recommendations.- References.