12 citations · 21 across the 10 of their papers we have counts for
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cs.SE2025
A Survey of Bugs in AI-Generated Code
Ruofan Gao, Amjed Tahir, Peng Liang +2
Developers are widely using AI code-generation models, aiming to increase productivity and efficiency. However, there are also quality concerns regarding the AI-generated code. The…
cs.SE2025
FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
Yue Wu, Minghao Han, Ruiyin Li +5
Code often suffers from performance bugs. These bugs necessitate the research and practice of code optimization. Traditional rule-based methods rely on manually designing and maint…
cs.SE2025★ 1 cited
On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices
Syed Mohammad Kashif, Peng Liang, Amjed Tahir
AI code generation tools have gained significant popularity among developers, who use them to assist in software development due to their capability to generate code. Existing stud…