Title :
An Input Adjustable Tree Algorithm for Evolutionary Testing
Author :
Jiang, Hsin-yi ; Oyama, Katsunori ; Chang, Carl K.
Author_Institution :
Dept. of Comput. Sci., Iowa State Univ., Ames, IA
fDate :
July 28 2008-Aug. 1 2008
Abstract :
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.
Keywords :
evolutionary computation; evolutionary testing; flag variables; input adjustable tree algorithm; source code; Application software; Automatic testing; Computer applications; Computer science; Evolutionary computation; Genetic algorithms; Input variables; Software algorithms; Software testing; Evolutionary Testing; Genetic Algorithm; Structure Testing;
Conference_Titel :
Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
Conference_Location :
Turku
Print_ISBN :
978-0-7695-3262-2
Electronic_ISBN :
0730-3157
DOI :
10.1109/COMPSAC.2008.187
