College of Computer Science and Mathematics

Discussion of a master’s thesis in the College of Computer Science and Mathematics – Department of Software entitled:

“Using Artificial Intelligence to Improve the Efficiency and Effectiveness of Software Testing“

It was discussed in the discussion room at the Faculty of Computer Science and Mathematics at the University of Mosul on Thursday, 2025/9/18.

Master’s thesis by Student Mervat Mohammed Hamid

under the supervision of  Asst. Prof. Aseel Waleed Ali

In this thesis, a proposed model was developed to enhance the efficiency and effectiveness of software testing using artificial intelligence. The model consists of two main phases: extracting the possible program paths through control flow graph (CFG) analysis using the Python AST library along with custom functions for program analysis within the AST, and then selecting the optimal test path using three main algorithms: Whale Optimization Algorithm (WOA), Elephant Herding Optimization (EHO), and Lightning Search Algorithm (LSA), in addition to a proposed hybrid algorithm (WEOA) that combines WOA and EHO to achieve better performance. The model was implemented in Python 3.9 with a Tkinter graphical interface, and the results demonstrated the superiority of the hybrid algorithm in terms of execution speed while maintaining high coverage, proving the feasibility of employing hybrid AI-based models to improve software testing processes.

The scientific committee included the following members:

• Prof. Dr. Naktel Moayad Eidan
• Prof. Dr. Zaidon Tareq Abdulwahab
• Prof. Dr. Mohammad Abdulghani Taha
• Prof. Asil Walid Ali