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cs.SE2025
Performance Smells in ML and Non-ML Python Projects: A Comparative Study
François Belias, Leuson Da Silva, Foutse Khomh +1
Python is widely adopted across various domains, especially in Machine Learning (ML) and traditional software projects. Despite its versatility, Python is susceptible to performanc…
cs.SE2025★ 2 cited
A Taxonomy of Inefficiencies in LLM-Generated Python Code
Altaf Allah Abbassi, Leuson Da Silva, Amin Nikanjam +1
Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various…