A government website registered with the Digital Government Authority.
Official Saudi Government websites URL ends with gov.sa
Website belongs to an official government organization in the Kingdom of Saudi Arabia always ends withgov.sa
Official Reliable websites use HTTPS protocol for encryption and security.
Ensure the website is using the HTTPS protocol
Registered with the Digital Government Authority under number :
20251012229Cookies
Use of cookies by this site is just to guarantee ease of access and a better user experience while browsing. Continuation of your browsing acknowledges your approval of the Terms and Conditions of this site and its use of cookies.
There are no new notifications currently.
There are no new events currently.
-
University
About the University
Agencies
Supporting Deanships
Units and Centers
Popular Pages
Departments
- Risk Management and Business Continuity
- General Administration of Projects and Facilitie
- Data Management Office
- University Council Secretariat
- Secretariat of the Scientific Council
- General Secretariat of Jeddah University's Scientific and Medical Endowments
- Governance and Compliance Department
- Knowledge Resources Management
- Scholarship and Student Exchange Management
- Administration of Attracting and Nurturing Talented
- Internal Audit Department
- General Directorate of Corporate Communications
- Cybersecurity Department
- Investment Department
- Digital Transformation and Information Technology Department
- Volunteerism and Social Responsibility Management
- General Directorate of Human Resources
- Vocational Guidance and Rehabilitation Department
- Medical Services Department
- General Department of Financial Affairs
- E-Learning and Distance Education Management
- Administrative Communications Department
- Legal Department
- Planning, Budgeting, and Follow-up Department
- Laboratories and Educational Facilities Administratio
-
Admissions
Bachelor's Degree
Diploma Degree
Graduate Studies
Short Programs
Popular Pages
-
Research
Research Chairs and Societies
Research Centers
Scientific Journals
-
Colleges
Science Colleges
Health and Medicine
Business and Management
Humanities Colleges
- UJ Life
In-depth exploration of software defects and self-admitted technical debt through cutting-edge deep learning techniques
This study introduces an innovative deep learning–based approach to detect and classify Self-Admitted Technical Debt (SATD) along with related software defects. The model was trained using data from open-source projects such as Apache, Mozilla Firefox, and Eclipse, applying several architectures including LSTM, GRU, BERT, and GPT-3. Results show that the GPT-3 model achieved the highest accuracy (0.984), outperforming other models. The research contributes to improving software quality by enhancing the detection and understanding of technical debt and software defects, thereby supporting sustainable software maintenance and development. المزيد
