Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
Automated Web application testing generates screenshots as test evidences. In this paper proposed, automated detection of Web screens collapse, really occurred, that difficult to find out manually from huge number of screenshots. Convolutional Neural Network (CNN) can detect them in small areas and similarity verdict by comparing two images with Random Forest (RF) classification can detect them in large areas in the images. The result verifies ensemble learning of CNN and RF effectively detecting the collapse which enables reducing work efforts of software testing.