21 citations · 24 across the 5 of their papers we have counts for
5 papers
Do Pre-trained Language Models Indeed Understand Software Engineering Tasks?
Yao Li, Tao Zhang, Xiapu Luo +3
Artificial intelligence (AI) for software engineering (SE) tasks has recently achieved promising performance. In this paper, we investigate to what extent the pre-trained language…
Demystifying Hidden Sensitive Operations in Android apps
Xiaoyu Sun, Xiao Chen, Li Li +5
Security of Android devices is now paramount, given their wide adoption among consumers. As researchers develop tools for statically or dynamically detecting suspicious apps, malwa…
Automatically Detecting API-induced Compatibility Issues in Android Apps: A Comparative Analysis (Replicability Study)
Pei Liu, Yanjie Zhao, Haipeng Cai +3
Fragmentation is a serious problem in the Android ecosystem. This problem is mainly caused by the fast evolution of the system itself and the various customizations independently m…
EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predict the Reassignment of Bug Report Fields
Md Shariful Islam, Abdelwahab Hamou-Lhadj, Korosh K. Sabor +2
Bug reports (BR) contain vital information that can help triaging teams prioritize and assign bugs to developers who will provide the fixes. However, studies have shown that BR fie…
A Lightweight Approach of Human-Like Playtesting
Yan Zhao, Weihao Zhang, Enyi Tang +3
A playtest is the process in which human testers are recruited to play video games and to reveal software bugs. Manual testing is expensive and time-consuming, especially when ther…