DocumentCode :
3344692
Title :
Alternating GUI Test Generation and Execution
Author :
Yuan, Xun ; Memon, Atif M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Maryland, College Park, MD
fYear :
2008
fDate :
29-31 Aug. 2008
Firstpage :
23
Lastpage :
32
Abstract :
Users of today\´s software perform tasks by interacting with a graphical user interface (GUI) front-end via sequences of input events. Due to the flexibility offered by most GUIs, the number of event sequences grows exponentially with length. One ubiquitous challenge of GUI testing is to selectively generate those sequences that lead to potentially problematic states. This paper presents ALT, a new technique that generates GUI test cases in batches, by leveraging GUI run-time information from a previously run batch to obtain the next batch. Each successive batch consists of "longer" test cases that expand the state space to be explored, yet prune the "unimportant" states. The "alternating" nature of ALT allows it to enhance the next batch by leveraging certain relationships between GUI events (e.g., one enables the other, one alters the other\´s execution) that are revealed only at run-time and non-trivial to infer statically. An empirical study on four fielded GUI-based applications demonstrates that ALT is successful at identifying complex failure-causing interactions between GUI events.
Keywords :
graphical user interfaces; testing; ALT; GUI test generation; complex failure-causing interactions; event sequences; graphical user interface; Application software; Computer industry; Computer science; Educational institutions; Graphical user interfaces; Performance evaluation; Runtime; Software performance; Software testing; State-space methods; Feedback; GUI Testing; Test Case Generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Practice and Research Techniques, 2008. TAIC PART '08. Testing: Academic & Industrial Conference
Conference_Location :
Windsor
Print_ISBN :
978-0-7695-3383-4
Type :
conf
DOI :
10.1109/TAIC-PART.2008.10
Filename :
4670297
Link To Document :
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