NDLI: Using Methods & Measures from Network Analysis for GUI Testing

Content Provider	IEEE Xplore Digital Library
Author	Elsaka, E. Moustafa, W.E. Bao Nguyen Memon, A.
Copyright Year	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.
Starting Page	240
Ending Page	246
File Size	453706
Page Count	7
File Format	PDF
ISBN	9781424467730
e-ISBN	9781424467747
DOI	10.1109/ICSTW.2010.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Java betweenness clustering software testing Humans Time measurement test prioritization Application software event-flow graphs Delay Automatic testing network analysis network centrality GUI testing Informatics Smart phones Graphical user interfaces
Content Type	Text
Resource Type	Article

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