activity
20222024
most citedAssessing Software Privacy using the Privacy Flow-Graph

18 citations · 39 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2024★ 5 cited

Finding Privacy-relevant Source Code

Feiyang Tang, Bjarte M. Østvold

Privacy code review is a critical process that enables developers and legal experts to ensure compliance with data protection regulations. However, the task is challenging due to r…

cs.SE2023

User Interaction Data in Apps: Comparing Policy Claims to Implementations

Feiyang Tang, Bjarte M. Østvold

As mobile app usage continues to rise, so does the generation of extensive user interaction data, which includes actions such as swiping, zooming, or the time spent on a screen. Ap…

cs.SE2023★ 7 cited

Helping Code Reviewer Prioritize: Pinpointing Personal Data and its Processing

Feiyang Tang, Bjarte M. Østvold, Magiel Bruntink

Ensuring compliance with the General Data Protection Regulation (GDPR) is a crucial aspect of software development. This task, due to its time-consuming nature and requirement for…

cs.SE2023★ 6 cited

Transparency in App Analytics: Analyzing the Collection of User Interaction Data

Feiyang Tang, Bjarte M. Østvold

The rise of mobile apps has brought greater convenience and many options for users. However, many apps use analytics services to collect a wide range of user interaction data, with…

cs.SE2023

Analytics for "interaction with the service": Surreptitious Collection of User Interaction Data

Feiyang Tang, Bjarte M. Østvold

The rise of mobile apps has brought greater convenience and customization for users. However, many apps use analytics services to collect a wide range of user interaction data purp…

cs.SE2023★ 3 cited

Identifying Personal Data Processing for Code Review

Feiyang Tang, Bjarte M. Østvold, Magiel Bruntink

Code review is a critical step in the software development life cycle, which assesses and boosts the code's effectiveness and correctness, pinpoints security issues, and raises its…

cs.CR2022

PABAU: Privacy Analysis of Biometric API Usage

Feiyang Tang

Biometric data privacy is becoming a major concern for many organizations in the age of big data, particularly in the ICT sector, because it may be easily exploited in apps. Most a…

cs.CR2022★ 18 cited

Assessing Software Privacy using the Privacy Flow-Graph

Feiyang Tang, Bjarte M. Østvold

We increasingly rely on digital services and the conveniences they provide. Processing of personal data is integral to such services and thus privacy and data protection are a grow…