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Bad Smells and Refactoring Methods for GUI Test Scripts

Authors: Woei-Kae Chen; Jung-Chi Wang;

Bad Smells and Refactoring Methods for GUI Test Scripts

Abstract

Testing the GUI (Graphical User Interface) of a software application is typically accomplished by developing a GUI test script composed of sequences of events and assertions. A GUI test script is in a sense similar to the source code of a program, since events and assertions are like source-code statements, which are executed line by line. Therefore, like source code, a GUI test script may have bad smells, and refactoring is an effective technique that can eradicate bad smells, making the script better and easier to maintain. This paper studies the bad smells a GUI test script may have and the refactoring methods that can be applied to remove the bad smells. A total of 11 bad smells are identified and 16 refactoring methods are proposed. The refactoring methods have been implemented in a GUI testing tool, called GTT, to support the automatic refactoring of GUI test scripts.

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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