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01/13/2023
Data Quality for Software Vulnerability Datasets
The use of learning-based techniques to achieve automated software vulne...
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03/15/2022
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data
A wide variety of Cyber Threat Information (CTI) is used by Security Ope...
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03/09/2022
Noisy Label Learning for Security Defects
Data-driven software engineering processes, such as vulnerability predic...
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12/20/2021
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources
Software Vulnerability (SV) severity assessment is a vital task for info...
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09/13/2021
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review
Software Vulnerability Prediction (SVP) is a data-driven technique for s...
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08/18/2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
It is increasingly suggested to identify Software Vulnerabilities (SVs) ...
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07/29/2021
An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages
Given programming languages can provide different types and levels of se...
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07/05/2021
An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing
Background: Static Application Security Testing (SAST) tools purport to ...
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08/10/2020
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q A Sites
Detection and mitigation of Security Vulnerabilities (SVs) are integral ...
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03/08/2020
