Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/3392
Title: Evolutionary testing supported by slicing and transformation
Authors: Harman, M
Hu, L
Hierons, RM
Fox, C
Danicic, S
Wegener, J
Sthamer, H
Baresel, A
Issue Date: 2002
Publisher: IEEE
Citation: IEEE International Conference on Software Maintenance (ICSM 2002), Montreal, pp. 285-285, Oct 2002
Abstract: Evolutionary testing is a search based approach to the automated generation of systematic test data, in which the search is guided by the test data adequacy criterion. Two problems for evolutionary testing are the large size of the search space and structural impediments in the implementation of the program which inhibit the formulation of a suitable fitness function to guide the search. In this paper we claim that slicing can be used to narrow the search space and transformation can be applied to the problem of structural impediments. The paper presents examples of how these two techniques have been successfully employed to make evolutionary testing both more efficient and more effective.
URI: http://bura.brunel.ac.uk/handle/2438/3392
DOI: http://dx.doi.org/10.1109/ICSM.2002.1167781
Appears in Collections:Computer Science
Dept of Computer Science Research Papers
Software Engineering (B-SERC)

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