Vision-Based Mobile App GUI Testing: A Survey
Not on the map. Why?
Abstract (arXiv)
Graphical User Interface (GUI) has become one of the most significant parts of mobile applications (apps). It is a direct bridge between mobile apps and end users, which directly affects the end user's experience. Neglecting GUI quality can undermine the value and effectiveness of the entire mobile app solution. Significant research efforts have been devoted to GUI testing, one effective method to ensure mobile app quality. By conducting rigorous GUI testing, developers can ensure that the visual and interactive elements of the mobile apps not only meet functional requirements but also provide a seamless and user-friendly experience. However, traditional solutions, relying on the source code or layout files, have met challenges in both effectiveness and efficiency due to the gap between what is obtained and what app GUI actually presents. Vision-based mobile app GUI testing approaches emerged with the development of computer vision technologies and have achieved promising progress. In this survey paper, we provide a comprehensive investigation of the state-of-the-art techniques on 271 papers, among which 92 are vision-based studies. This survey covers different topics of GUI testing, like GUI test generation, GUI test record & replay, GUI testing framework, etc. Specifically, the research emphasis of this survey is placed mostly on how vision-based techniques outperform traditional solutions and have gradually taken a vital place in the GUI testing field. Based on the investigation of existing studies, we outline the challenges and opportunities of (vision-based) mobile app GUI testing and propose promising research directions with the combination of emerging techniques.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Oct 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 2; 2025: 3; 2026: 3.
8 papers.
- 2024Large Language Model-Brained GUI Agents: A Surveycited by 162
- 2025A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directionscited by 34
- 2026MobileDreamer: Generative Sketch World Model for GUI Agentcited by 23
- 2025Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixingcited by 12
- 2024VGA: Vision GUI Assistant -- Minimizing Hallucinations through Image-Centric Fine-Tuningcited by 9
- 2025Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven Developmentcited by 7
- 2026GUITester: Enabling GUI Agents for Exploratory Defect Discoverycited by 5
- 2026Training Computer Use Agents to Assess the Usability of Graphical User Interfacescited by 2
- 2026Training Computer Use Agents to Assess the Usability of Graphical User Interfaces28 Apr 2026
- 2026GUITester: Enabling GUI Agents for Exploratory Defect Discovery8 Jan 2026
- 2026MobileDreamer: Generative Sketch World Model for GUI Agent7 Jan 2026
- 2025Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven Development29 Sep 2025
- 2025Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing19 Jun 2025
- 2025A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions27 Jan 2025
- 2024Large Language Model-Brained GUI Agents: A Survey27 Nov 2024
- 2024VGA: Vision GUI Assistant -- Minimizing Hallucinations through Image-Centric Fine-Tuning20 Jun 2024