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data/gui-testing.json

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"Paper_Url": "https://ieeexplore.ieee.org/abstract/document/10778901/",
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"Highlight": "Eliminates the need for pre-written test scripts by leveraging LLMs and multimodal perception to generate and execute test cases automatically.",
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"Code_Url": ""
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}
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},
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{
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"Name": "VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps",
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"Platform": "Android (Mobile)",
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"Date": "April 2025",
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"Paper_Url": "https://arxiv.org/abs/2504.11675",
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"Highlight": "",
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"Code_Url": ""
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},
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{
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"Name": "BugCraft: End-to-End Crash Bug Reproduction Using LLM Agents in Minecraft",
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"Platform": "Windows Computer",
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"Date": "March 2025",
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"Paper_Url": "https://arxiv.org/abs/2503.20036",
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"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.",
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"Code_Url": "https://bugcraft2025.github.io/"
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},
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{
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"Name": "ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback",
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"Platform": "Android (Mobile)",
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"Date": "April 2025",
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"Paper_Url": "https://arxiv.org/abs/2504.02357",
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"Highlight": "Leverages visual contexts and dynamic feedback mechanisms to significantly boost migration success rates compared to prior mapping- and LLM-based methods.",
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"Code_Url": ""
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},
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{
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"Name": "Are Autonomous Web Agents Good Testers?",
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"Platform": "Web",
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"Date": "April 2025",
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"Paper_Url": "https://arxiv.org/abs/2504.01495",
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"Highlight": "First open-source attempt to adapt LLM-powered Autonomous Web Agents into Autonomous Test Agents (ATA) for web testing.",
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"Code_Url": ""
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},
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{
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"Name": "Automated Testing of the GUI of a Real-Life Engineering Software using Large Language Models",
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"Platform": "Desktop (Windows/Linux)",
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"Date": "2025",
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"Paper_Url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10962502",
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"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.",
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"Code_Url": "https://github.com/DLR-SC/GERALLT"
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}
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]
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