Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
H Liu, Y Zhang, V Saikrishna, Q Tian… - arXiv preprint arXiv …, 2024 - arxiv.org
Code smells indicate the potential problems of software quality so that developers can
identify refactoring opportunities by detecting code smells. State-of-the-art approaches …
identify refactoring opportunities by detecting code smells. State-of-the-art approaches …
Exploration of the Feasibility and Applicability of Domain Adaptation in Machine Learning-Based Code Smell Detection
P Sukkasem, C Soomlek - International Conference on Data Science and …, 2023 - Springer
Abstract Machine learning-based code smell detection was introduced to mitigate the
limitations of the heuristic-based approach and the subjectivity issues. Due to limited …
limitations of the heuristic-based approach and the subjectivity issues. Due to limited …
Data Preprocessing for Machine Learning Based Code Smell Detection: A Systematic Literature Review
FR Santos, R Choren - Available at SSRN 4756315 - papers.ssrn.com
Detecting code smells using machine learning presents inherent challenges due to the
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …