Ontology type: schema:Chapter
2019
AUTHORSYoung-Sun Yun , Jinman Jung , Seongbae Eun , Sun-Sup So , Junyoung Heo
ABSTRACTGraphical user interface (GUI) is very important to interact with software users. In many studies, therefore, they are trying to convert GUI elements (or widgets) to code or to describe formally its structure by help of domain knowledge or machine learning based algorithms. In this paper, we adopted object detection based on deep neural networks that finds GUI elements by integration of localization and classification. After the successfully detection of GUI components, we will describe the objects as the hierarchical structure and transform those to appropriate codes by synthetic or machine learning algorithms. More... »
PAGES86-90
Proceedings of the Sixth International Conference on Green and Human Information Technology
ISBN
978-981-13-0310-4
978-981-13-0311-1
http://scigraph.springernature.com/pub.10.1007/978-981-13-0311-1_16
DOIhttp://dx.doi.org/10.1007/978-981-13-0311-1_16
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