DocumentCode :
3067323
Title :
An ant colony optimization approach to test sequence generation for state based software testing
Author :
Li, Huaizhong ; Lam, C. Peng
Author_Institution :
Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Churchlands, WA, Australia
fYear :
2005
fDate :
19-20 Sept. 2005
Firstpage :
255
Lastpage :
262
Abstract :
Properly generated test suites may not only locate the defects in software systems, but also help in reducing the high cost associated with software testing, ft is often desired that test sequences in a test suite can be automatically generated to achieve required test coverage. However, automatic test sequence generation remains a major problem in software testing. This paper proposes an ant colony optimization approach to automatic test sequence generation for state-based software testing. The proposed approach can directly use UML artifacts to automatically generate test sequences to achieve required test coverage.
Keywords :
Unified Modeling Language; automatic programming; optimisation; program testing; UML; ant colony optimization approach; automatic test sequence generation; software system; state based software testing; Ant colony optimization; Application software; Artificial intelligence; Automatic testing; Electrical capacitance tomography; Gold; Software systems; Software testing; System testing; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality Software, 2005. (QSIC 2005). Fifth International Conference on
ISSN :
1550-6002
Print_ISBN :
0-7695-2472-9
Type :
conf
DOI :
10.1109/QSIC.2005.12
Filename :
1579143
Link To Document :
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