5 citations · 12 across the 7 of their papers we have counts for
7 papers
LLM for Mobile: An Initial Roadmap
Daihang Chen, Yonghui Liu, Mingyi Zhou +7
When mobile meets LLMs, mobile app users deserve to have more intelligent usage experiences. For this to happen, we argue that there is a strong need to appl LLMs for the mobile ec…
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…
Taming Android Fragmentation through Lightweight Crowdsourced Testing
Xiaoyu Sun, Xiao Chen, Yonghui Liu +2
Android fragmentation refers to the overwhelming diversity of Android devices and OS versions. These lead to the impossibility of testing an app on every supported device, leaving…
On the Reliability and Explainability of Language Models for Program Generation
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu +1
Recent studies have adopted pre-trained language models, such as CodeT5 and CodeGPT, for automated program generation tasks like code generation, repair, and translation. Numerous…
A Comparative Study of Smartphone and Smart TV Apps
Yonghui Liu, Xiao Chen, Yue Liu +6
Context: Smart TVs have become one of the most popular television types. Many app developers and service providers have designed TV versions for their smartphone applications. Desp…
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 Recommend Code Updates: Are We There Yet?
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu +2
In recent years, large pre-trained Language Models of Code (CodeLMs) have shown promising results on various software engineering tasks. One such task is automatic code update reco…