Clone Detection Techniques and Tools in Software Engineering

This study provides a focused analysis of selected clone detection techniques, comparing traditional and deep learning approaches. Tthe analysis covers key tools and models, emphasizing their effectiveness in software engineering and educational settings. This study offers insights into practical applications and potential future directions for clone detection technology by evaluating performance metrics such as accuracy, precision, and computational efficiency. The findings illustrate the current capabilities of clone detection tools and suggest paths for integrating advanced techniques in software development and education.