An immune genetic algorithm for software test data generation
Authors: Bouchachia, A.
Journal: Proceedings - 7th International Conference on Hybrid Intelligent Systems, HIS 2007
Pages: 84-89
ISBN: 9780769529462
DOI: 10.1109/ICHIS.2007.4344032
Abstract: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. © 2007 IEEE.
Source: Scopus
An Immune Genetic Algorithm for Software Test Data Generation.
Authors: Bouchachia, A.
Editors: König, A., Köppen, M., Kasabov, N.K. and Abraham, A.
Journal: HIS
Pages: 84-89
Publisher: IEEE Computer Society
https://ieeexplore.ieee.org/xpl/conhome/4344004/proceeding
Source: DBLP
Preferred by: Hamid Bouchachia