Combining Software Metrics and Text Features for Vulnerable File Prediction

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...

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Bibliographic Details
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
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Online Access:https://ink.library.smu.edu.sg/sis_research/3097
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Institution: Singapore Management University
Language: English