Title:
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Analyzing Clusters of Web Application User Sessions
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Authors:
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Sreedevi Sampath, Sara Sprenkle, Emily Gibson, Lori Pollock, and Amie Souter
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Description:
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This is an updated version of UD Technical Report 2005-014, originally dated February 2005.
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Abstract:
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User sessions provide valuable insight into the dynamic behavior of web applications. They also play a key role in user-session-based testing, which gathers user sessions in the field and replays selected sessions to test an evolving application. To decrease the testing and analysis effort, testers reduce the set of collected user sessions by either clustering user sessions by their shared URL attributes or by program coverage requirements-based reduction techniques. Clustering URL attributes can be considerably less expensive; however, the
tradeoff may be that clustering is not representative of dynamic
behavior similarities. This paper describes our analysis of user
session data to reveal correlations between sessions clustered on the sessions' attributes and the relative dynamic behavior of the program for those sessions. The results of our analysis also motivate other clustering and test suite reduction techniques.
Our results can also be used to learn more about how clusters of web application use cases are related in terms of the underlying user session attributes, program coverage, and fault detection.
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Book Title:
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Workshop on Dynamic Analysis (WODA)
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Pages:
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56 - 62
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Date:
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May 2005
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Project:
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Web Application Testing
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Document Type:
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Conference Proceedings
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Files:
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[paper: Adobe PDF] (183 KB)
[slides: Adobe PDF] (472 KB)
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Bibtex Entry:
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| @inproceedings{123456789/16, |
| author = {Sreedevi Sampath and Sara Sprenkle and Emily Gibson and Lori Pollock and Amie Souter}, |
| title = {Analyzing Clusters of Web Application User Sessions}, |
| booktitle = {Workshop on Dynamic Analysis (WODA)}, |
| pages = {56 - 62}, |
| month = {May}, |
| year = {2005} |
| } |
|