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 utilizing slicing techniques in order to produce more accurate program metrics.
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© 1998 Springer-Verlag Berlin Heidelberg
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Ostrowski, D.A., Reynolds, R.G. (1998). Integration of slicing methods into a Cultural Algorithm in order to assist in large-scale engineering systems design. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds) Evolutionary Programming VII. EP 1998. Lecture Notes in Computer Science, vol 1447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0040772
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DOI: https://doi.org/10.1007/BFb0040772
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