Hybrid Intelligent Systems, International Conference on (2007)
Sept. 17, 2007 to Sept. 19, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2007.37
Abdelhamid Bouchachia , University of Klagenfurt, 9020, Austria
This paper aims at incorporating immune operators in genetic algorithms as an advanced method for solving the problem of test data generation. The new proposed hybrid algorithm is called Immune Genetic Algorithm (IGA). A full description of this algorithm is presented before investigating its application in the context of software test data generation using some benchmark programs. Moreover, the algorithm is compared with other evolutionary algorithms.
A. Bouchachia, "An Immune Genetic Algorithm for Software Test Data Generation," 7th International Conference on Hybrid Intelligent Systems, HIS 2007(HIS), Kaiserlautern, 2007, pp. 84-89.