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
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