College of Computer Science and Mathematics

Discussion of the master’s thesis in the College of Computer Science and Mathematics – Department of Software Department entitled: Designing a Tool for Code Smell Detection

Master’s thesis by Noura Raad Nashaat Alkayali

Supervised by Assist Prof.Dr. Naktal Moaid Edan Allhebee

This thesis explores advanced research in intelligent software engineering, integrating modern artificial intelligence techniques to develop an integrated tool for detecting code smells and improving code quality. The tool relies on a hybrid model employing three deep neural networks, with a design that takes into account modern software engineering principles such as scalability, flexibility, reliability, and applicability to multiple languages. The system includes full automation of seven data preprocessing stages, enhancing detection accuracy. It also provides intelligent mechanisms for restructuring and optimising software, integrated into an interactive interface according to user experience standards, making a tangible contribution to the use of artificial intelligence to improve the efficiency of the software industry.

The discussion committee consists of

Prof. Dr. Shahba Ibrahim Khalil (Chairman)

Assist. Prof. Dr. Ammar Zahir Yassin (member)

Dr. Shaimaa Mustafe Muhyiddin (member)

Assist. Prof. Dr. Naktal Moaid Edan (member and supervisor)