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A 2026 replication package by Zijie Huang for research on automated code smell detection. It includes the MLCQ benchmark with 14,739 annotations from 522 repositories, results from 40 developer interviews, and evaluation data from 1,840 developer assessments. The package contains datasets, source code for a Java subsystem, and Python scripts for reproducing machine learning experiments.
Requires Python 3.10+ and specific dependencies; some models (CodeBERT-Fusion) require PyTorch with CUDA support. Primary documentation is in README.md files.