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  1. Myanmar Institute of Information Technology
  2. Data Center

Improving Web Applications Testing by Clustering User Session Data

http://hdl.handle.net/20.500.12678/0000006791
http://hdl.handle.net/20.500.12678/0000006791
cc3e6e45-ad16-47aa-938e-c27cddf9a054
8da4076e-2ffd-4730-a483-81b16d76b21e
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Web Web Application Testing using Clustering Algorithm.pdf (870 KB)
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Publication type
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
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