Combining Software Metrics and Text Features for Vulnerable File Prediction

• Main Authors: ZHANG, Yun, David LO, XIA, Xin, XU, Bowen, SUN, Jianling Sun, LI, Shanping
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Machine Learning; Text Mining; Vulnerable File; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3097
• Institution: Singapore Management University

In recent years, to help developers reduce time and effort required to build highly secure software, a number of prediction models which are built on different kinds of features have been proposed to identify vulnerable source code files. In this paper, we propose a novel approach VULPREDICTOR to pr...