Title :
Automatic Test Data Generation Based on Ant Colony Optimization
Author :
Li, Kewen ; Zhang, Zilu ; Liu, Wenying
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet., Dongying, China
Abstract :
Software testing is a crucial measure used to assure the quality of software. Path testing can detect bugs earlier because of it performs higher error coverage. This paper presents a model of generating test data based on an improved ant colony optimization and path coverage criteria. Experiments show that the algorithm has a better performance than other two algorithms and improve the efficiency of test data generation notably.
Keywords :
automatic test pattern generation; automatic test software; optimisation; program testing; software quality; ant colony optimization; automatic test data generation; path coverage criteria; path testing; software quality; software testing; Ant colony optimization; Automatic testing; Data engineering; Educational institutions; Genetic algorithms; Petroleum; Scheduling algorithm; Software measurement; Software quality; Software testing; Ant Colony Optimization; Automatic Test; Data Generation; Path coverage criteria;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.239
