2 citations · 5 across the 6 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.SE2023
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation
Chao Ni, Xin Yin, Kaiwen Yang +3
Though many deep learning (DL)-based vulnerability detection approaches have been proposed and indeed achieved remarkable performance, they still have limitations in the generaliza…
cs.SE2023★ 1 cited
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics
Dehai Zhao, Zhenchang Xing, Xin Xia +3
Programming screencasts (e.g., video tutorials on Youtube or live coding stream on Twitch) are important knowledge source for developers to learn programming knowledge, especially…
cs.SE2023★ 1 cited
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence
Zejun Zhang, Zhenchang Xing, Xin Xia +3
The usage of Python idioms is popular among Python developers in a formative study of 101 performance-related questions of Python idioms on Stack Overflow, we find that developers…