Acquisition of software engineering knowledge : SWEEP : an automatic programming system based on genetic programming and cultural algorithms /
This is the first book that attempts to provide a framework in which to embed an automatic programming system based on evolutionary learning (genetic programming) into a traditional software engineering environment. As such, it looks at how traditional software engineering knowledge can be integrate...
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Main Authors: | |
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Corporate Authors: | |
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Published: |
World Scientific Pub. Co.,
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Publisher Address: | Singapore ; River Edge, N.J. : |
Publication Dates: | 2003. |
Literature type: | eBook |
Language: | English |
Series: |
Series on software engineering and knowledge engineering ;
v. 14 |
Subjects: | |
Online Access: |
http://www.worldscientific.com/worldscibooks/10.1142/3338#t=toc |
Summary: |
This is the first book that attempts to provide a framework in which to embed an automatic programming system based on evolutionary learning (genetic programming) into a traditional software engineering environment. As such, it looks at how traditional software engineering knowledge can be integrated with an evolutionary programming process in a symbiotic way. |
Carrier Form: | 1 online resource (v,156pages) : illustrations. |
Bibliography: | Includes bibliographical references (pages 147-154) and index. |
ISBN: | 9789812791399 (electronic bk.) |
CLC: | TP311.5 |
Contents: | ch. 1. Introduction -- ch. 2. SWEEP: a system for the software engineering of evolving programs -- ch. 3. The genetic programming element agents -- ch. 4. The metrics apprentice: using cultural algorithms to formulate quality metrics for software systems -- ch. 5. An example problem for automatic programming: solving the noisy sine problem with discipulus -- ch. 6. Data collection and analysis -- ch. 7. Analysis: the relationship of software metrics to bloat -- ch. 8. Defining a new software metric To estimate generalization using the metrics apprentice -- ch. 9. Conclusion. |