Integration of Slicing Methods into a Cultural Algorithm in Order to Assist in Large-Scale Engineerging Systems Design
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{ostrowski:1998:ismcaoalsesd,
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author = "David A. Ostrowski and Robert G. Reynolds",
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title = "Integration of Slicing Methods into a Cultural
Algorithm in Order to Assist in Large-Scale
Engineerging Systems Design",
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booktitle = "Evolutionary Programming VII: Proceedings of the
Seventh Annual Conference on Evolutionary Programming",
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year = "1998",
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editor = "V. William Porto and N. Saravanan and D. Waagen and
A. E. Eiben",
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volume = "1447",
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series = "LNCS",
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pages = "191--198",
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address = "Mission Valley Marriott, San Diego, California, USA",
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publisher_address = "Berlin",
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month = "25-27 " # mar,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, SBSE",
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ISBN = "3-540-64891-7",
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DOI = "doi:10.1007/BFb0040772",
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size = "8 pages",
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abstract = "Programmers often employ knowledge-based heuristic
approaches in the application of solving programming
problems. Program slicing is one tool used to acquire
such knowledge within the area of Software Engineering
to support the debugging, testing, maintenance and
understanding of programs. Program slicing is the
determination of the set of all the statements in a
program that directly or indirectly affects the value
of a variable occurrence. Genetic Programming is the
process of using evolutionary techniques to identify
information that can be used to identify the location
of problems in program code. We believe that within a
Cultural Algorithm framework, a testing analysis agent
can be implemented using slicing techniques in order to
produce more accurate program metrics",
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notes = "EP-98. Ford, Dearborn",
- }
Genetic Programming entries for
David A Ostrowski
Robert G Reynolds
Citations