The project bridges traditional static code analysis (Object-Oriented metrics) with advanced embedding representation learning to predict refactoring interventions on code-smelly methods. The predictive framework models a supervised binary classification task across 10 distinct target refactoring operations. Data Sourc...
Andrea Lanza, Matteo Bochicchio, Francesca Arcelli Fontana· Zenodo (CERN European Organi...· 0 citations
The project bridges traditional static code analysis (Object-Oriented metrics) with advanced embedding representation learning to predict refactoring interventions on code-smelly methods. The predictive framework models a supervised binary classification task across 10 distinct target refactoring operations. Data Sourc...
Andrea Lanza, Matteo Bochicchio, Francesca Arcelli Fontana· Zenodo (CERN European Organi...· 0 citations
This repository contains the official replication package, automation scripts, and machine learning pipelines developed for the Master's Thesis: "Integrating Structural and Semantic Analysis for Code Smell Refactoring Prediction" (Università degli Studi di Milano-Bicocca, 2026). The project bridges traditional static c...
Andrea Lanza· Zenodo (CERN European Organi...· 0 citations
This repository contains the official replication package, automation scripts, and machine learning pipelines developed for the Master's Thesis: "Integrating Structural and Semantic Analysis for Code Smell Refactoring Prediction" (Università degli Studi di Milano-Bicocca, 2026). The project bridges traditional static c...
Andrea Lanza· Zenodo (CERN European Organi...· 0 citations
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