UI UI TESTING AUTOMATION METHOD USING DEEP LEARNING ALGORITHEM AND TREE AND APPRATUS FOR THE SAME

According to an embodiment of the present invention, provided is a UI testing automation method using a deep learning algorithm and a tree. The method comprises: a first step of extracting an object from a captured image based on a predetermined deep learning algorithm and generating a tree composed...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	CHO MIN GEUN, PARK SANG SUB, YEOM SEONG YEON
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	According to an embodiment of the present invention, provided is a UI testing automation method using a deep learning algorithm and a tree. The method comprises: a first step of extracting an object from a captured image based on a predetermined deep learning algorithm and generating a tree composed of a node generated by utilizing the captured image and the extracted object; and a second step of performing automation for user interface testing using the generated tree. As a result, efficient UI testing with minimal time is possible. 본 발명의 실시예에 따른 딥러닝 알고리즘 및 트리를 이용한 UI테스팅 자동화 방법은 소정의 딥러닝 알고리즘에 기반하여 캡쳐이미지로부터 오브젝트를 추출하고, 상기 캡쳐이미지 및 상기 추출된 오브젝트를 활용하여 생성된 노드로 구성된 트리를 생성하는 제1 단계 및 상기 생성된 트리를 이용하여 사용자 인터페이스 테스팅을 자동화 수행하는 제2 단계를 포함할 수 있다.