GitHub - jfemon8/Detecting-Code-Smells-in-Python-Using-Ensemble-Learning-with-Advanced-Resampling-Techniques: Aim of this research is to identify code smells in the Python dataset by combining sophisticated data resampling techniques with ensemble learning approaches. We looked into the most effective ensemble learning techniques for identifying smells in the Python code. Next, we enhance the performance of conventional machine learning models.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Dataset		Dataset
DatasetNormalization.ipynb		DatasetNormalization.ipynb
FeatureSelectionAndNormalization.ipynb		FeatureSelectionAndNormalization.ipynb
Thesis Report.pdf		Thesis Report.pdf
Thesis_PCSD_main.ipynb		Thesis_PCSD_main.ipynb

About

Aim of this research is to identify code smells in the Python dataset by combining sophisticated data resampling techniques with ensemble learning approaches. We looked into the most effective ensemble learning techniques for identifying smells in the Python code. Next, we enhance the performance of conventional machine learning models.

doi.org/10.13140/RG.2.2.18124.17282

code-smell code-smell-detection code-smells python-code-smell smell smell-detector