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Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?

Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?

Arthur D. Sawadogo
Quentin Guimard
Tegawende F. Bissyande
Abdoul Kader Kaboré
Jacques Klein
Naouel Moha
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Papers citing "Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?"

4 / 4 papers shown
Title
EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment
Xin-Cheng Wen
Jiaxin Ye
Cuiyun Gao
Lianwei Wu
Qing Liao
81
1
0
28 Jan 2025
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
Serena Elisa Ponta
H. Plate
A. Sabetta
M. Bezzi
Cédric Dangremont
24
122
0
07 Feb 2019
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani
A. Sankaran
Rahul Aralikatte
59
130
0
04 Jan 2018
A Convolutional Neural Network for Modelling Sentences
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
Edward Grefenstette
Phil Blunsom
98
3,558
0
08 Apr 2014

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