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P2 GLIB: towards automated test oracle for graphically-rich applications

GLIB:面向图形丰富应用的自动化测试预言
FSE Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering2021匹配度 2/10 · 该论文属于软件测试与调试方向,研究图形丰富应用(如游戏)的 GUI 渲染缺陷自动检测,不涉及静态分析、LLM/Agent、浮点程序分析或贝叶斯程序分析等用户核心方向。虽然其工业落地和真实缺陷验证符合用户对工程应用的兴趣,但研究问题与方法与用户画像重叠度很低。引用 30 inbox
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
crossref: 2026-09-12

AI 速览

一句话:提出基于代码数据增强的测试预言 GLIB,自动检测游戏等图形丰富应用中的非崩溃性 GUI 渲染缺陷,在真实游戏上达到高精度与高召回。

图形丰富应用(如游戏)的 GUI 复杂,易出现图形故障。现有自动化测试主要检测崩溃,非崩溃性图形故障需人工判定,缺乏自动测试预言。本文提出 GLIB,利用基于代码的数据增强技术,自动为图形丰富应用构建测试预言,检测 GUI 渲染故障。在 20 个有 bug 报告的真实游戏上,GLIB 达到 100% 精度和 99.5% 召回;在另 14 个无 bug 报告游戏上,发现 53 个 GUI 故障,其中 48 个已被确认并修复。

问题
图形丰富应用(如游戏)的 GUI 复杂,容易产生非崩溃性的图形故障,而现有自动化测试主要关注崩溃,这类故障仍需人工检查。
方法
提出 GLIB,基于代码的数据增强技术自动构建测试预言,用于检测图形丰富应用中的 GUI 渲染故障。
评估
在 20 个有 bug 报告的真实游戏上评估,达到 100% 精度和 99.5% 召回;并在 14 个无 bug 报告的游戏上发现 53 个 GUI 故障,其中 48 个已被确认并修复。
原文摘要(Abstract)

Graphically-rich applications such as games are ubiquitous with attractive visual effects of Graphical User Interface (GUI) that offers a bridge between software applications and end-users. However, various types of graphical glitches may arise from such GUI complexity and have become one of the main component of software compatibility issues. Our study on bug reports from game development teams in NetEase Inc. indicates that graphical glitches frequently occur during the GUI rendering and severely degrade the quality of graphically-rich applications such as video games. Existing automated testing techniques for such applications focus mainly on generating various GUI test sequences and check whether the test sequences can cause crashes. These techniques require constant human attention to captures non-crashing bugs such as bugs causing graphical glitches. In this paper, we present the first step in automating the test oracle for detecting non-crashing bugs in graphically-rich applications. Specifically, we propose GLIB based on a code-based data augmentation technique to detect game GUI glitches. We perform an evaluation of GLIB on 20 real-world game apps (with bug reports available) and the result shows that GLIB can achieve 100% precision and 99.5% recall in detecting non-crashing bugs such as game GUI glitches. Practical application of GLIB on another 14 real-world games (without bug reports) further demonstrates that GLIB can effectively uncover GUI glitches, with 48 of 53 bugs reported by GLIB having been confirmed and fixed so far.

链接与引用

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BibTeX
@inproceedings{paperbot6368,
  title = {GLIB: towards automated test oracle for graphically-rich applications},
  author = {Ke Chen and Yufei Li and Yingfeng Chen and Changjie Fan and Zhipeng Hu and Wei Yang},
  booktitle = {FSE},
  year = {2021},
  doi = {10.1145/3468264.3468586}
}