Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research and Application of PC UI Automated Testing Framework Based on Pywinauto ——Taking the CNKI E-Study Platform as an Example

LYU Ying, LI Huiyun, LIU Xiaoling, WU Xiaojing, CHEN Yanshuo

(Tongfang Knowledge Network Digital Publishing Technology Co., Ltd., Beijing 100192, China)

Section：Computer Technology · Vol. 2026, Issue 18 · Pages：131-135 · 2096-4706（2026）18-0131-05 · CLC number：TP311 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.18.023

Abstract

As the CNKI E-Study desktop (Windows) version continues to iterate, the increasing coupling degree of its functional modules poses dual challenges of efficiency and coverage for traditional manual regression testing. To break through the bottleneck of conventional manual testing, a Python-based PC UI automated testing framework is researched and implemented. This framework, centered on the Pywinauto library, achieves precise control over Windows application interfaces by integrating multimodal positioning strategies, manages test cases via the Pytest testing framework, and generates visual test reports using the Allure tool. Applied to the core functional points of the CNKI E-Study platform, the framework demonstrates significant improvements in testing efficiency and product quality, providing a reliable solution for automated testing of similar desktop applications.

Keywords

UI automated testing; Pywinauto; multimodal positioning; testing framework; desktop application

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About the authors

Lyu Ying (1991-), female, Han ethnicity, from Hengshui, Hebei, engineer, bachelor's degree, research interests include software testing.