Title

Deep Learning-Based Mobile Application Isomorphic GUI Identification for Automated Robotic Testing

Publication Date

7-1-2020

Document Type

Article

Department

Computer Engineering

Publication Title

IEEE Software

Volume

37

Issue

4

DOI

10.1109/MS.2020.2987044

First Page

67

Last Page

74

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.

Keywords

automatic robotic black-box testing, element recognition, feature extraction, Isomorphic GUI identification, relative entropy

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