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:1.8051

@InProceedings{ostrowski:1998:ismcaoalsesd,

• author = "David A. Ostrowski and Robert G. Reynolds",
• title = "Integration of Slicing Methods into a Cultural Algorithm in Order to Assist in Large-Scale Engineerging Systems Design",
• booktitle = "Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming",
• year = "1998",
• editor = "V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben",
• volume = "1447",
• series = "LNCS",
• pages = "191--198",
• address = "Mission Valley Marriott, San Diego, California, USA",
• publisher_address = "Berlin",
• month = "25-27 " # mar,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, SBSE",
• ISBN = "3-540-64891-7",
• DOI = "doi:10.1007/BFb0040772",
• size = "8 pages",
• 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",
• notes = "EP-98. Ford, Dearborn",

}

Genetic Programming entries for David A Ostrowski Robert G Reynolds

Citations