Master’s thesis by Shafaq Azzam Noori

2025-04-10T09:54:40+00:00

Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of software: “A Systematic Approach to Requirements Traceability Using Machine Learning” Master’s thesis by Shafaq Azzam Noori supervised by   Dr. Najla Akram Youniss Al-Saati This study aims to improve software requirements traceability by automating the link between textual requirements and source code using advanced semantic vectorization techniques and machine learning models. Five algorithms were evaluated, with Random Forest achieving the best performance (accuracy 0.8, F1-score 0.52), showing a good balance between precision and recall. Logistic Regression had the highest recall but low precision, limiting its practical use. [Read More]