activity
20232026
most citedTo Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

19 citations · 45 across the 13 of their papers we have counts for

collaborators
Showing cs.SEShow all

6 papers · 1 filter

cs.SE2024

"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development

Shidong Pan, Litian Wang, Tianyi Zhang +4

AI-empowered tools have emerged as a transformative force, fundamentally reshaping the software development industry and promising far-reaching impacts across diverse sectors. This…

cs.SE2024

A Comparative Study of Android Performance Issues in Real-world Applications and Literature

Dianshu Liao, Shidong Pan, Siyuan Yang +3

Performance issues in Android applications significantly undermine users' experience, engagement, and retention, which is a long-lasting research topic in academia. Unlike function…

cs.SE2024

A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps

Shidong Pan, Tianchen Guo, Lihong Zhang +3

Application Programming Interface (API) incompatibility is a long-standing issue in Android application development. The rapid evolution of Android APIs results in a significant nu…

cs.SE2024★ 2 cited

Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference

Linyi Han, Shidong Pan, Zhenchang Xing +4

Augmenting missing key aspects in Textual Vulnerability Descriptions (TVDs) is crucial for effective vulnerability analysis. For instance, in TVDs, key aspects include Attack Vecto…

cs.SE2023★ 1 cited

Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps

Shidong Pan, Dawen Zhang, Mark Staples +4

Privacy regulations protect and promote the privacy of individuals by requiring mobile apps to provide a privacy policy that explains what personal information is collected and how…

cs.SE2023★ 19 cited

To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

Dawen Zhang, Shidong Pan, Thong Hoang +6

The right to be forgotten (RTBF) is motivated by the desire of people not to be perpetually disadvantaged by their past deeds. For this, data deletion needs to be deep and permanen…