14 citations · 84 across the 12 of their papers we have counts for
11 papers · 1 filter
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems
Lili Quan, Qianyu Guo, Xiaofei Xie +3
Quality assurance is of great importance for deep learning (DL) systems, especially when they are applied in safety-critical applications. While quality issues of native DL applica…
Accessible or Not? An Empirical Investigation of Android App Accessibility
Sen Chen, Chunyang Chen, Lingling Fan +3
Mobile apps provide new opportunities to people with disabilities to act independently in the world. Motivated by this trend, researchers have conducted empirical studies by using…
Automatically Distilling Storyboard with Rich Features for Android Apps
Sen Chen, Lingling Fan, Chunyang Chen +1
Before developing a new mobile app, the development team usually endeavors painstaking efforts to review many existing apps with similar purposes. The review process is crucial in…
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview
Xian Zhan, Tianming Liu, Lingling Fan +4
Third-party libraries (TPLs) have been widely used in mobile apps, which play an essential part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one ha…
ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications
Xian Zhan, Lingling Fan, Sen Chen +4
We propose a system, named ATVHunter, which can pinpoint the precise vulnerable in-app TPL versions and provide detailed information about the vulnerabilities and TPLs. We propose…
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps
Ming Fan, Le Yu, Sen Chen +6
The purpose of the General Data Protection Regulation (GDPR) is to provide improved privacy protection. If an app controls personal data from users, it needs to be compliant with G…