Charith Kutikuppala

Traversal-Aware Structural Fusion of AST and CFG for Code Representation Learning in Software Fault and Code Smell Detection

The effectiveness of machine learning and deep learning models in software engineering (SE) tasks, such as fault prediction and code smell detection, depends heavily on the quality of source code representation and feature extraction. Previous studies have primarily used abstract syntax trees (ASTs) for source code rep...