7th International Conference on Hybrid Intelligent Systems (HIS 2007) An Immune Genetic Algorithm for Software Test Data Generation Kaiserslautern, Germany September 17-September 19 ISBN: 0-7695-2946-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2007.37
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.
Citation:
Abdelhamid Bouchachia, "An Immune Genetic Algorithm for Software Test Data Generation," his, pp.84-89, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||