DocumentCode :
3422814
Title :
Automatic generation of test case based on GATS algorithm
Author :
Shen, Xiajiong ; Wang, Qian ; Wang, Peipei ; Zhou, Bo
Author_Institution :
Inst. of Data & Knowledge Eng., Henan Univ., Kaifeng, China
fYear :
2009
fDate :
17-19 Aug. 2009
Firstpage :
496
Lastpage :
500
Abstract :
A kind of software test data automated generation method based on genetic algorithm and tabu search algorithm is proposed. Having both local search capabilities of tabu search algorithm and global search capability of genetic algorithm, this tabu genetic algorithm combines tabu search algorithm with genetic algorithm. The experiment results show that the tabu genetic algorithm with tabu search as mutation operator is effective on generating test cases and its optimizing performance is superior to the simple genetic algorithm.
Keywords :
genetic algorithms; program testing; search problems; automatic generation; genetic algorithm; global search capability; software test data automated generation method; tabu search algorithm; Artificial intelligence; Automatic testing; Biological information theory; Evolution (biology); Genetic algorithms; Genetic mutations; Hybrid power systems; Knowledge engineering; Software algorithms; Software testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
Type :
conf
DOI :
10.1109/GRC.2009.5255070
Filename :
5255070
Link To Document :
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