Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets

Chakraborty, Partha; Arumugam, Krishna Kanth; Alfadel, Mahmoud; Meiyappan, Nagappan; McIntosh, Shane

doi:10.1109/TSE.2024.3423712

Published July 5, 2024 | Version 0.1

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Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets

1. University of Waterloo

This repository contains the dataset and scripts used in study "Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets"

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DOI: 10.1109/TSE.2024.3423712

Is published in: Journal article: 10.1109/TSE.2024.3423712 (DOI)

Programming language: Python

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Journal article

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Zenodo

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IEEE Transactions on Software Engineering, 1-15, ISSN: 2326-3881, 2024.

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English

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Created: July 10, 2024
Modified: July 10, 2024

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Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets

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