Using Methods & Measures from Network Analysis for GUI Testing

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“Using Methods & Measures from Network Analysis for GUI Testing” by Ethar Elsaka, Walaa Eldin Moustafa, Bao Nguyen. And Atif M. Memon, in TESTBEDS 2010: Proceedings of the International Workshop on TESTing Techniques & Experimentation Benchmarks for Event-Driven Software, (Washington, DC, USA), 2010.

Abstract

Graphical user interfaces (GUIs) for today's applications are extremely large. Moreover, they provide many degrees of freedom to the end-user, thus allowing the user to perform a very large number of event sequences on the GUI. The large sizes and degrees of freedom create severe problems for GUI quality assurance, including GUI testing. In this paper, we leverage methods and measures from network analysis to analyze and study GUIs, with the goal of aiding GUI testing activities. We apply these methods and measures on the event-flow graph model of GUIs. Results of a case study show that “network centrality measures” are able to identify the most important events in the GUI as well as the most important sequences of events. These events and sequences are good candidates for test prioritization. In addition, the “betweenness clustering” method is able to partition the GUI into regions that can be tested separately.

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BibTeX entry:

@inproceedings{ElsakaMoustafaNguyenMemonTESTBEDS2010,
   author = {Ethar Elsaka and Walaa Eldin Moustafa and Bao Nguyen and Atif
	M. Memon},
   title = {Using Methods & Measures from Network Analysis for GUI
	Testing},
   booktitle = {TESTBEDS 2010: Proceedings of the International Workshop
	on TESTing Techniques & Experimentation Benchmarks for
	Event-Driven Software},
   publisher = {IEEE Computer Society},
   address = {Washington, DC, USA},
   year = {2010}
}

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