Testing Web-based Applications

The increased availability and continuous use of the web for daily operations by businesses, consumers, and government has popularized e-commerce and created a great demand for reliable web applications. One promising approach to testing the functionality of web applications leverages user session data collected by web servers. Some of the goals of this research are

To perform scalable test suite reduction of user sessions and generate reduced suites that are efficient in terms of program coverage and fault detection ability.
To perform dynamic analysis of user sessions to understand the usage and dynamic behavior of web applications and to motivate the reduction techniques developed.
To develop an automated framework for scalable testing of web applications. Our objective are that the framework be customizable, providing pluggable testing components (such as test-case generation, test-case replay, and oracle comparators) to enable accurate testing of the application and that the framework adapts to an evolving test suite and the application's changing operational profiles.

Overview of User-session-based Web Application Testing Research (pdf)

Publications

If the above link does not work, refer to our static publications page.

Tools

WebVizOr - a tool for applying automated oracles and analyzing test results of web applications

Contributors

Faculty: Dr. Lori Pollock
Ph.D. Students: Emily Gibson
Collaborators: Dr. Sara Sprenkle, Dr. Sreedevi Sampath and Dr. Amie Souter (Lucent)
Past Undergraduate Students: Stacey Ecott (Tufts University), Holly Esquivel (University of Nebraska-Kearney), Barbara Hazelwood (Xavier University), Valentin Mihaylov (Drexel University), Frank Zappaterrini

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