|
126 | 126 | "Paper_Url": "https://ieeexplore.ieee.org/abstract/document/10778901/", |
127 | 127 | "Highlight": "Eliminates the need for pre-written test scripts by leveraging LLMs and multimodal perception to generate and execute test cases automatically.", |
128 | 128 | "Code_Url": "" |
129 | | - } |
| 129 | + }, |
| 130 | + { |
| 131 | + "Name": "VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps", |
| 132 | + "Platform": "Android (Mobile)", |
| 133 | + "Date": "April 2025", |
| 134 | + "Paper_Url": "https://arxiv.org/abs/2504.11675", |
| 135 | + "Highlight": "", |
| 136 | + "Code_Url": "" |
| 137 | + }, |
| 138 | + { |
| 139 | + "Name": "BugCraft: End-to-End Crash Bug Reproduction Using LLM Agents in Minecraft", |
| 140 | + "Platform": "Windows Computer", |
| 141 | + "Date": "March 2025", |
| 142 | + "Paper_Url": "https://arxiv.org/abs/2503.20036", |
| 143 | + "Highlight": "First end-to-end framework that automates crash bug reproduction in a complex open-world game (Minecraft) using LLM-driven agents, vision-based UI parsing, and structured action execution.", |
| 144 | + "Code_Url": "https://bugcraft2025.github.io/" |
| 145 | + }, |
| 146 | + { |
| 147 | + "Name": "ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback", |
| 148 | + "Platform": "Android (Mobile)", |
| 149 | + "Date": "April 2025", |
| 150 | + "Paper_Url": "https://arxiv.org/abs/2504.02357", |
| 151 | + "Highlight": "Leverages visual contexts and dynamic feedback mechanisms to significantly boost migration success rates compared to prior mapping- and LLM-based methods.", |
| 152 | + "Code_Url": "" |
| 153 | + }, |
| 154 | + { |
| 155 | + "Name": "Are Autonomous Web Agents Good Testers?", |
| 156 | + "Platform": "Web", |
| 157 | + "Date": "April 2025", |
| 158 | + "Paper_Url": "https://arxiv.org/abs/2504.01495", |
| 159 | + "Highlight": "First open-source attempt to adapt LLM-powered Autonomous Web Agents into Autonomous Test Agents (ATA) for web testing.", |
| 160 | + "Code_Url": "" |
| 161 | + }, |
| 162 | + { |
| 163 | + "Name": "Automated Testing of the GUI of a Real-Life Engineering Software using Large Language Models", |
| 164 | + "Platform": "Desktop (Windows/Linux)", |
| 165 | + "Date": "2025", |
| 166 | + "Paper_Url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10962502", |
| 167 | + "Highlight": "Pioneers LLM-driven testing on real-world desktop GUI applications (not web or mobile), combining structured GUI parsing with LLM-based control and evaluation.", |
| 168 | + "Code_Url": "https://github.com/DLR-SC/GERALLT" |
| 169 | + } |
130 | 170 | ] |
131 | 171 |
|
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