@article {15504,
	title = {Using GUI Run-Time State as Feedback for Test Automation},
	year = {2009},
	month = {2009/08/18/},
	institution = {Computer Science Research Works, University of Maryland, College Park},
	abstract = {Graphical user interfaces (GUIs) are the sole mode of interactionbetween end-users and back-end code for almost all of today{\textquoteright}s software
applications.  Because of this strategic role of GUIs, their quality
has become important. During GUI testing, test cases---modeled as
sequences of user events---sample the vast input space of all possible
sequences with the goal of detecting faults; for effective testing, it
is important to sample this space carefully.  Existing techniques
either sample manually or employ manually constructed abstract
models---the abstraction and/or subsequent test-case generation
algorithms enable sampling.
This report presents an alternative approach to GUI testing -- it{\textquoteright}s
focus is on developing a fully automatic model-driven technique
to generate GUI test cases.  The technique is novel in that it uses
feedback from the execution of a {\textquoteleft}{\textquoteleft}seed test suite{\textquoteright}{\textquoteright} on a GUI.
The seed suite is generated automatically using an existing structural
event-interaction graph (EIG) model of the GUI.  During its
execution, the run-time effect of each GUI event on all other events
pinpoints new important event-semantic interaction (ESI)
relationships between them, which are used to automatically create an
ESI graph (ESIG) model and generate new test cases.  Together
with a reverse-engineering algorithm used to obtain the EIG, seed
suite, ESIG, and new test cases, the feedback-based technique yields a
fully automatic, end-to-end GUI testing process.
},
	keywords = {GUI testing, Software testing, test automation, test-case generation},
	url = {http://drum.lib.umd.edu//handle/1903/9416},
	author = {Xun Yuan and Memon, Atif M.}
}
