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Improving Web Applications Testing by Clustering User Session Data
http://hdl.handle.net/20.500.12678/0000006791
http://hdl.handle.net/20.500.12678/0000006791cc3e6e45-ad16-47aa-938e-c27cddf9a054
8da4076e-2ffd-4730-a483-81b16d76b21e
Name / File | License | Actions |
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Improving Web Applications Testing by Clustering User Session Data | |||||
Language | en | |||||
Publication date | 2013-02-18 | |||||
Authors | ||||||
Hsu Mon Maung | ||||||
Description | ||||||
The test cases are generated from large amount of user session data. The k-means like clustering algorithm is adopted as the reduction mechanism on log data. | ||||||
Keywords | ||||||
user session based testing, clustering algorithm | ||||||
Conference papers | ||||||
AICT | ||||||
18 February 2013 | ||||||
Proceeding on the Fifth Conference on Applied Information and Communication Technology (AICT), Myanmar | ||||||
Mandalay, Myanmar | ||||||
Datamining and Web Mining |