Title :
An Immune Genetic Algorithm for Software Test Data Generation
Author :
Bouchachia, Abdelhamid
Author_Institution :
Univ. of Klagenfurt, Klagenfurt
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.
Keywords :
genetic algorithms; program testing; evolutionary algorithms; immune genetic algorithm; software test data generation; test data generation; Ant colony optimization; Benchmark testing; Cost function; Genetic algorithms; Hybrid power systems; Immune system; Instruments; Software quality; Software testing; System testing;
Conference_Titel :
Hybrid Intelligent Systems, 2007. HIS 2007. 7th International Conference on
Conference_Location :
Kaiserlautern
Print_ISBN :
978-0-7695-2946-2
DOI :
10.1109/HIS.2007.37
