output
20092025
most citedUncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling

264 citations

Showing cs.SEShow all

5 papers · 1 filter

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★ 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…