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Deep Learning-Based Mobile Application Isomorphic GUI Identification for Automated Robotic Testing
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DOI：10.1109/MS.2020.2987044.png)
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Fully black-box robotic testing is needed given the popularity of mobile applications. A critical constraining issue for generating graphical user interface (GUI) models is identifying isomorphic GUIs. We present a deep learningbased end-to-end trainable model to determine the similarity between GUIs and identify isomorphic GUIs.
Keyword:
Graphical user interfaces
Feature extraction
Skeleton
Testing
Entropy
Robots
Mobile applications
Isomorphic GUI identification
automatic robotic black-box testing
element recognition
feature extraction
relative entropy
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