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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Main Authors: | , , , , , |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3097 |
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Institution: | Singapore Management University |
Language: | English |