An Empirical Study on Multimodal Activity Clustering of Android Applications

Recently, researchers have started looking at Android activities to improve user interface (UI) design. Since similar activities in Android have similar functional behaviors, activity clustering is a fundamental step toward efficient Android app development. Well-grouped activities are useful not on...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Choi, Sungmin, Seo, Hyeon-Tae, Han, Yo-Sub
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity clustering autoencoder Clustering Clustering methods CNN Convolutional neural networks Datasets Deep learning Feature extraction Graphical user interfaces Labels Layout Logic gates Machine learning Operating systems Rico Semantics sequence-to-sequence
Online-Zugang:	Volltext
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