An immune genetic algorithm for software test data generation

This source preferred by Hamid Bouchachia

This data was imported from DBLP:

Authors: Bouchachia, A.

Editors: König, A., Köppen, M., Kasabov, N. and Abraham, A.

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4344004

Journal: HIS

Pages: 84-89

Publisher: IEEE Computer Society

DOI: 10.1109/HIS.2007.20

This data was imported from Scopus:

Authors: Bouchachia, A.

Journal: Proceedings - 7th International Conference on Hybrid Intelligent Systems, HIS 2007

Pages: 84-89

DOI: 10.1109/ICHIS.2007.4344032

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.

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