JAIS (Journal of Applied Intelligent System)
Vol 3, No 1 (2018): Journal of Applied Intelligent System

An Automated Testing Framework for Cross-Browser Visual Incompatibility Detection

Zhen Xu (University of Alberta, Edmonton, Canada)
James Miller (University of Alberta, Edmonton, Canada)



Article Info

Publish Date
03 Aug 2018

Abstract

Due to the rapid evolution of web applications and computer techniques, visual incompatibility of web pages has become a problem across different browsers and platforms influencing the functionality of the web applications. At the present, researchers have made progress to address such issues; in addition, many commercial tools have emerged as well. However, drawbacks still exist in the existing work, where fully automate testing at the system level is still not achieved. In this paper, we attempt to propose a framework to detect the cross browser visual incompatibilities automatically. Highlights of the proposed framework include template based case organization, version based automation, and similarity embedded incompatibilities identification.

Copyrights © 2018






Journal Info

Abbrev

JAIS

Publisher

Subject

Description

Journal of Applied Intelligent System (JAIS) is published by LPPM Universitas Dian Nuswantoro Semarang in collaboration with CORIS and IndoCEISS, that focuses on research in Intelligent System. Topics of interest include, but are not limited to: Biometric, image processing, computer vision, ...