现代信息科技2025，Vol.9Issue(6)：67-70,4.DOI:10.19850/j.cnki.2096-4706.2025.06.013
图像智能识别及其在自动化测试的应用
Image Intelligent Recognition and Its Application in Automated Testing
黄非1
作者信息
- 1. 长江大学 计算机科学学院,湖北 荆州 434023
- 折叠
摘要
Abstract
The traditional interface automated testing tools have the problems of designing a large number of program scripts and poor compatibility.Therefore,an automated testing method based on Artificial Intelligence model is proposed.This method uses the SAM model for image intelligent recognition,and uses the BERT model for text retrieval matching,which can analyze the specific test interface and extract the image.The image file name is marked as a text dataset in a semi-manual manner,and then text classification training is performed to achieve text-to-image matching.Finally,the automated testing steps are simulated with the help of a graph matching algorithm.The experimental results show that the method has high matching accuracy and is more flexible and convenient than traditional automated testing tools.关键词
软件测试/智能识别/机器学习Key words
software testing/intelligent recognition/Machine Learning分类
信息技术与安全科学引用本文复制引用
黄非..图像智能识别及其在自动化测试的应用[J].现代信息科技,2025,9(6):67-70,4.
