SACS is a new open-source dataset with over 10,000 labeled samples each for Long Method, Large Class, and Feature Envy code smells created via a semi-automatic generation approach.
Large Class Detection Using GNNs: A Graph Based Deep Learning Approach Utilizing Three Typical GNN Model Architectures,
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SACS: A Code Smell Dataset using Semi-automatic Generation Approach
SACS is a new open-source dataset with over 10,000 labeled samples each for Long Method, Large Class, and Feature Envy code smells created via a semi-automatic generation approach.