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. [Read More]