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Research on test data generation based on Modified Genetic and Simulated Annealing Algorithm

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2 Author(s)
Li-Yun Yu ; School of Software Engineering, South China University of Technology, Guangzhou, China ; Lu Lu

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).

Published in:

Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on

Date of Conference:

6-9 Oct. 2010