Research on the Automated Testing Framework for Android Applications

Abstract

A keyword-driven test framework based on image recognition is proposed to efficiently address the issue of challenging mobile graphical interface verification and avoid tedious, repetitive work to save time and reduce costs. The framework is based on the Appium automated tool and incorporates an algorithm for matching image templates that can accurately verify the relative positions of page elements and support various Android system tests at different resolutions. The suggested automated test framework is more reliable than those based on conventional automated testing tools in the process of continuous and long-term testing. Experimental results demonstrate that the mechanical test framework suggested in this paper has significant advantages based on adhering to the principles of product quality and enhancing test efficiency. In addition, it can efficiently identify mobile application page elements and speed up software development and version iteration.