21 citations · 40 across the 6 of their papers we have counts for
6 papers · 1 filter
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models
Mingyi Zhou, Xiang Gao, Pei Liu +4
Recent studies show that deployed deep learning (DL) models such as those of Tensor Flow Lite (TFLite) can be easily extracted from real-world applications and devices by attackers…
ReuNify: A Step Towards Whole Program Analysis for React Native Android Apps
Yonghui Liu, Xiao Chen, Pei Liu +3
React Native is a widely-used open-source framework that facilitates the development of cross-platform mobile apps. The framework enables JavaScript code to interact with native-si…
A First Look at CI/CD Adoptions in Open-Source Android Apps
Pei Liu, Xiaoyu Sun, Yanjie Zhao +3
Continuous Integration (CI) and Continuous Delivery (CD) have been demonstrated to be effective in facilitating software building, testing, and deployment. Many research studies ha…
Automatically Detecting API-induced Compatibility Issues in Android Apps: A Comparative Analysis (Replicability Study)
Pei Liu, Yanjie Zhao, Haipeng Cai +3
Fragmentation is a serious problem in the Android ecosystem. This problem is mainly caused by the fast evolution of the system itself and the various customizations independently m…
Identifying and Characterizing Silently-Evolved Methods in the Android API
Pei Liu, Li Li, Yichun Yan +2
With over 500,000 commits and more than 700 contributors, the Android platform is undoubtedly one of the largest industrial-scale software projects. This project provides the Andro…
Do Customized Android Frameworks Keep Pace with Android?
Pei Liu, Mattia Fazzini, John Grundy +1
To satisfy varying customer needs, device vendors and OS providers often rely on the open-source nature of the Android OS and offer customized versions of the Android OS. When a ne…