Ms. Nuha Shawahna

Ms. Nuha Shawahna

PQSB 3rd Call Participant
Ministry of Education

Department: National Institute for Educational Training

Specialization: Computer Science 

FRQ Research Area: Natural Sciences and Technology

Host university: Concordia University

Host Department: Department of Computer Science and Software Engineering

Canadian Partner: Prof. Emad Shihab

Research Domain: Data-driven Analysis of Software

Research Project Title: Software repository mining and using machine learning to detect software vulnerabilities.

Research Project Purpose: The aim of this research is to predict and fix the software system’s security vulnerabilities at an early phase of software development lifecycle, by utilizing  data mining techniques to identify and predict security vulnerabilities in the software systems source code.

Expected Results: Expected Results    The proposed project has the potential of reducing the cost that governmental organizations and companies would incur each year due to cyber-attacks, and help build software that is more robust.