The case for software evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{DBLP:conf/sigsoft/GouesFW10,
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author = "Claire {Le Goues} and Stephanie Forrest and
Westley Weimer",
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title = "The case for software evolution",
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booktitle = "Proceedings of the FSE/SDP workshop on Future of
software engineering research, FoSER'10",
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year = "2010",
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editor = "Gruia-Catalin Roman and Kevin J. Sullivan",
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pages = "205--210",
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address = "Santa Fe, New Mexico, USA",
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publisher_address = "New York, NY, USA",
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month = nov # " 7-11",
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organisation = "ACM SIGSOFT",
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, APR, sbse, evolutionary computation,
program repair, software engineering",
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isbn13 = "978-1-4503-0427-6",
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URL = "http://www.cs.virginia.edu/~weimer/p/p205-legoues.pdf",
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DOI = "doi:10.1145/1882362.1882406",
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size = "5 pages",
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acmid = "1882406",
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abstract = "Many software systems exceed our human ability to
comprehend and manage, and they continue to contain
unacceptable errors. This is an unintended consequence
of Moore's Law, which has led to increases in system
size, complexity, and interconnectedness. Yet, software
is still primarily created, modified, and maintained by
humans. The interactions among heterogeneous programs,
machines and human operators has reached a level of
complexity rivalling that of some biological
ecosystems. By viewing software as an evolving complex
system, researchers could incorporate biologically
inspired mechanisms and employ the quantitative
analysis methods of evolutionary biology. This approach
could improve our understanding and analysis of
software; it could lead to robust methods for
automatically writing, debugging and improving code;
and it could improve predictions about functional and
structural transitions as scale increases. In the short
term, an evolutionary perspective challenges several
research assumptions, enabling advances in error
detection, correction, and prevention.",
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bibsource = "DBLP, http://dblp.uni-trier.de",
- }
Genetic Programming entries for
Claire Le Goues
Stephanie Forrest
Westley Weimer
Citations