A CodeT5 classifier reaches 96.9% accuracy at labeling snippets with three refactoring types, but the paper's smell-to-refactoring mapping is assumed, not tested.
Architectural smells detected by tools: a catalogue proposal,
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ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
A CodeT5 classifier reaches 96.9% accuracy at labeling snippets with three refactoring types, but the paper's smell-to-refactoring mapping is assumed, not tested.