An Immune Genetic Algorithm for Software Test Data Generation

Authors:
Abdelhamid Bouchachia
Affiliations:
University of Klagenfurt, 9020, Austria
Venue:
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
Year:
2007

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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.