3 papers
cs.CR2026
PolicyGapper: Automated Detection of Inconsistencies Between Google Play Data Safety Sections and Privacy Policies Using LLMs
Luca Ferrari, Billel Habbati, Meriem Guerar +2
Mobile application developers are required to disclose how they collect, use, and share user data in compliance with privacy regulations. To support transparency, major app marketp…
cs.SE2026
CovAgent: Overcoming the 30% Curse of Mobile Application Coverage with Agentic AI and Dynamic Instrumentation
Wei Minn, Biniam Fisseha Demissie, Yan Naing Tun +4
Automated GUI testing is crucial for ensuring the quality and reliability of Android apps. However, the efficacy of existing UI testing techniques is often limited, especially in t…
cs.SE2025
VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps
Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar +1
Testing Android apps effectively requires a systematic exploration of the app's possible states by simulating user interactions and system events. While existing approaches have pr…