An immune genetic algorithm for software test data generation

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