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Author

Saurabh Tiwari

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2026

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...

Charith Kutikuppala, Saurabh Tiwari, S. Rathore · 0 citations
Book Open access Jul 2026

An Analysis of Student Perceptions and Learning Impact of Large Language Models in Requirements Engineering Education

Results suggest that LLM-supported co-analysis positively impacts student-created RE artifacts in terms of quality and consistency, particularly when addressing early-level problems or when used to convey structural information, while human insight remains critical for refinement and strategic-level cognitive processes...

M. Karimi, Saurabh Tiwari, S. Rathore · 0 citations

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