DocumentCode
3149314
Title
The research of test-suite reduction technique
Author
Donghua, Cui ; Wenjie, Yin
Author_Institution
Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
fYear
2011
fDate
16-18 April 2011
Firstpage
4552
Lastpage
4554
Abstract
Ant colony algorithm is a bionic optimization algorithm, it can solve combinatorial problems effectively. For the problem of the test suite reduction, this algorithm could find the balance point between the speed and the accuracy of solution. Unlike other existing algorithms, this algorithm used test cost criteria, as well as the test coverage criteria. Finally, the paper presented the results, the results is given by the others classical algorithms compared with this algorithms. The results show that this algorithm can significantly reduce the size and the cost of the test-suite, and achieved higher effectiveness of test-suite minimization.
Keywords
minimisation; optimisation; program testing; ant colony algorithm; bionic optimization algorithm; test cost criteria; test coverage criteria; test suite minimization; test suite reduction technique; Algorithm design and analysis; Computers; Heuristic algorithms; Minimization; Optimization; Software; Software algorithms; test coverage; test execution cost; test suite; test suite reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768284
Filename
5768284
Link To Document