Efficient Feature Selection for Static Analysis Vulnerability Prediction

Efficient Feature Selection for Static Analysis Vulnerability Prediction

Common software vulnerabilities can result in severe security breaches, financial losses, and reputation deterioration and require research effort to improve software security. The acceleration of the software production cycle, limited testing resources, and the lack of security expertise among prog...

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Bibliographic Details
Main Authors: Katarzyna Filus, Paweł Boryszko, Joanna Domańska, Miltiadis Siavvas, Erol Gelenbe
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
software vulnerability prediction
static analysis
machine learning
feature selection
Online Access:https://www.mdpi.com/1424-8220/21/4/1133

Internet

https://www.mdpi.com/1424-8220/21/4/1133

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