TY - GEN
T1 - Utilizing Machine Learning for the Identification of Visually Similar Web Elements
AU - Cho, Yi Ju
AU - Lee, Shin Jie
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A significant proportion of web elements might manifest identical behaviors and functionalities, further complicating the test case creation process. We have noted that elements demonstrating congruent behavior and functionality frequently exhibit visual resemblances within the web page interface. In this paper, we propose a machine learning-based method to identify visually similar web elements. These identified elements can be brought to the attention of the tester. If the tester determines that these elements exhibit similar behavior, they can be visually marked on the web page, facilitating focused test case creation. A case study demonstrates its potential to make accurate judgments on several complex webpages.
AB - A significant proportion of web elements might manifest identical behaviors and functionalities, further complicating the test case creation process. We have noted that elements demonstrating congruent behavior and functionality frequently exhibit visual resemblances within the web page interface. In this paper, we propose a machine learning-based method to identify visually similar web elements. These identified elements can be brought to the attention of the tester. If the tester determines that these elements exhibit similar behavior, they can be visually marked on the web page, facilitating focused test case creation. A case study demonstrates its potential to make accurate judgments on several complex webpages.
UR - https://www.scopus.com/pages/publications/85182987026
UR - https://www.scopus.com/pages/publications/85182987026#tab=citedBy
U2 - 10.1109/ICEBE59045.2023.00044
DO - 10.1109/ICEBE59045.2023.00044
M3 - Conference contribution
AN - SCOPUS:85182987026
T3 - Proceedings - 2023 IEEE International Conference on e-Business Engineering, ICEBE 2023
SP - 181
EP - 186
BT - Proceedings - 2023 IEEE International Conference on e-Business Engineering, ICEBE 2023
A2 - Hussain, Omar Khadeer
A2 - Ma, Shang-Pin
A2 - Lu, Xin
A2 - Chao, Kuo-Ming
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on e-Business Engineering, ICEBE 2023
Y2 - 4 November 2023 through 6 November 2023
ER -