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An Immune Genetic Algorithm for Software Test Data Generation
Kaiserslautern, Germany September 17-September 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2007.377th International Conference on Hybri ...
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Abdelhamid Bouchachia, "An Immune Genetic Algorithm for Software Test Data Generation," Hybrid Intelligent Systems, International Conference on, pp. 84-89, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007.
 
 
BibTex
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@article{ 10.1109/HIS.2007.37,
author = {Abdelhamid Bouchachia},
title = {An Immune Genetic Algorithm for Software Test Data Generation},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2946-1},
pages = {84-89},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2007.37},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - An Immune Genetic Algorithm for Software Test Data Generation
SN - 0-7695-2946-1
SP84
EP89
A1 - Abdelhamid Bouchachia,
PY - 2007
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
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.
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
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