Master’s thesis  by ” Tuqa Emad Huseein Ali  ” Department of Computer Science. Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of software  entitled:

Improving File-Level Bug Localization Using Pre-trained Neural Language Models supervised by  Dr. Mohammed Abdelghani Taha

The thesis addressed the analysis of the relationship between bug reports and source code using pre-trained code models.

The study focused on processing bug reports and source code and ranking candidate files according to their relevance to the reported bugs.

The study aims to evaluate and compare pre-trained code models with traditional information retrieval methods to improve the effectiveness of file-level bug localization.

The discussion committee consists of

Dr.  Laheed Mohammed Ibrahem (Chairman)

Dr. Naktal Moaiad Edan  (Member)

Dr . Shaimaa Mustafa Muhyiddin (Member)

Dr. Mohammed Abdelghani Taha (Member and Supervisor)