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2008 32nd Annual IEEE International Computer Software and Applications Conference
An Input Adjustable Tree Algorithm for Evolutionary Testing
July 28-August 01
ISBN: 978-0-7695-3262-2
This paper proposes an Input Adjustable Tree Algorithm for the flag problems of evolutionary testing (ET). With the algorithm, the dependencies of input and internal/flag variables can be determined. Based on that, ET guides the search efficiently with the presence of flag variables in the source code.
Index Terms:
Structure Testing, Evolutionary Testing, Genetic Algorithm
Citation:
Hsin-yi Jiang, Katsunori Oyama, Carl K. Chang, "An Input Adjustable Tree Algorithm for Evolutionary Testing," compsac, pp.124-127, 2008 32nd Annual IEEE International Computer Software and Applications Conference, 2008
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