Title :
Research on test data generation based on Modified Genetic and Simulated Annealing Algorithm
Author :
Yu, Li-Yun ; Lu, Lu
Author_Institution :
Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper proposes Modified Genetic and Simulated Annealing Algorithm (MGSAA), which can be applied in the test data generation during software testing procedure. The system simulation results show that MGSAA is superior in generating highly-qualified test data to genetic algorithm (GA).
Keywords :
genetic algorithms; program testing; simulated annealing; genetic algorithm; simulated annealing algorithm; software testing procedure; test data generation; Convergence; Flow graphs; Gallium; Genetic algorithms; Simulated annealing; Software algorithms; Software testing; Genetic algorithm; Modified Genetic and Simulated Annealing Algorithm; Simulated Annealing Algorithm; Software testing; Test data;
Conference_Titel :
Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-962-367-696-0
