Overview

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.

Full Product Details

Author:   Conor Ryan
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2000
Volume:   2
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   0.254kg
ISBN:  

9781461370949

ISBN 10:   1461370949
Pages:   140
Publication Date:   05 November 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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