一句话：提出 AG3，利用计算机视觉自动检测游戏 GUI 多语言文本故障并生成质量报告。
随着设备软硬件性能提升和游戏引擎演进，越来越多高质量游戏吸引全球不同语言的玩家。然而设备与平台市场高度碎片化，经过充分测试的游戏在新设备、未见过的屏幕分辨率和系统版本上仍可能出现文本故障，严重影响用户体验。现有测试流程中，识别多语言文本故障的技术费力且低效。本文提出 AG3，提供智能游戏遍历、精确的视觉文本故障检测和集成的质量报告生成能力。实证评估与内部工业部署表明，AG3 能以极少人工参与检测多种真实世界的多语言文本故障。
With the advancement of device software and hardware performance, and the evolution of game engines, an increasing number of emerging high-quality games are captivating game players from all around the world who speak different languages. However, due to the vast fragmentation of the device and platform market, a well-tested game may still experience text glitches when installed on a new device with an unseen screen resolution and system version, which can significantly impact the user experience. In our testing pipeline, current testing techniques for identifying multilingual text glitches are laborious and inefficient. In this paper, we present AG3, which offers intelligent game traversal, precise visual text glitch detection, and integrated quality report generation capabilities. Our empirical evaluation and internal industrial deployment demonstrate that AG3 can detect various real-world multilingual text glitches with minimal human involvement.
@inproceedings{LiangQGPY23,
title = {AG3: Automated Game GUI Text Glitch Detection Based on Computer Vision},
author = {Xiaoyun Liang and Jiayi Qi and Yongqiang Gao and Chao Peng and Ping Yang},
booktitle = {FSE},
year = {2023},
doi = {10.1145/3611643.3613867}
}