Deep Learning-Based Mobile Application Isomorphic GUI Identification for Automated Robotic Testing
Tao Zhang, Ying Liu, Jerry Gao, Li Gao, Jing Cheng
Abstract
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.
Topics & Concepts
Graphical user interfaceComputer scienceGraphical user interface testingIdentification (biology)Human–computer interactionPopularityBlack boxSoftware engineeringArtificial intelligenceProgramming languageUser interfaceUser interface designSocial psychologyBotanyPsychologyBiologySoftware Testing and Debugging TechniquesAdvanced Malware Detection TechniquesSoftware System Performance and Reliability