基于Airtest框架的图像识别自动化测试研究与应用
Automated Testing Application for Image Recognition Based on Airtest Framework
胡莉琼 1詹夏城 1唐健玲 1赵丹阳 1左凌风1
作者信息
- 1. 中移互联网有限公司,广东 广州 510000
- 折叠
摘要
自动化测试有助于提高软件质量和开发效率,在现代软件开发中起着至关重要的作用.同时在不断变化的用户界面环境下,图像识别领域一直存在挑战,自动化测试也面临着不断增加的复杂性和多样性,用户界面的不断发展,导致传统元素定位的测试方法效率下降.因此,开发一种自动化测试应用,利用Airtest框架实现对产品用户界面指标的图像识别自动化测试.
Abstract
Automated testing plays a crucial role in modern software development,contributing to the enhancement of software quality and development efficiency.Simultaneously,in the ever-evolving user interface landscape,challenges persist in the field of image recognition.Automated testing encounters increasing complexity and diversity.Traditional element location methods'efficiency declines due to the continuous evolution of user interfaces.This paper develops an automated testing ap-plication utilizing the Airtest framework to achieve automated image recognition of product user interface metrics.
关键词
Airtest/图像识别/自动化/测试Key words
Airtest/image recognition/automation/testing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据