Cover Image

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ponta, Serena E., Plate, Henrik, Sabetta, Antonino, Bezzi, Michele, Dangremont, Cédric
Format:	Preprint
Published:	2019
Subjects:	Software Engineering Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Metadata: Code-centric and Usage-based Analysis of Known Vulnerabilities in Open-source Software
by: Ponta, Serena E., et al.
Published: (2018)

Impact assessment for vulnerabilities in open-source software libraries
by: Plate, Henrik, et al.
Published: (2015)

Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories
by: Hommersom, Daan, et al.
Published: (2021)

SourceBroken: A large-scale analysis on the (un)reliability of SourceRank in the PyPI ecosystem
by: Montaruli, Biagio, et al.
Published: (2025)

Uncovering Hidden Inclusions of Vulnerable Dependencies in Real-World Java Projects
by: Schott, Stefan, et al.
Published: (2026)

A Practical Approach to the Automatic Classification of Security-Relevant Commits
by: Sabetta, Antonino, et al.
Published: (2018)

Tracing Vulnerability Propagation Across Open Source Software Ecosystems
by: Ruohonen, Jukka, et al.
Published: (2025)

A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software
by: Kumar, Shree Hari Bittugondanahalli Indra, et al.
Published: (2025)

Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs
by: Pasini, Samuele, et al.
Published: (2024)

Static Security Vulnerability Scanning of Proprietary and Open-Source Software: An Adaptable Process with Variants and Results
by: Cusick, James J.
Published: (2025)

Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
by: Ayala, Jessy, et al.
Published: (2025)

Detecting Protracted Vulnerabilities in Open Source Projects
by: Sridharkumar, Arjun, et al.
Published: (2026)

Bytecode-centric Detection of Known-to-be-vulnerable Dependencies in Java Projects
by: Schott, Stefan, et al.
Published: (2025)

A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
by: Ayala, Jessy, et al.
Published: (2024)

What's in a Package? Getting Visibility Into Dependencies Using Security-Sensitive API Calls
by: Rahman, Imranur, et al.
Published: (2024)

Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
by: Le, Triet H. M., et al.
Published: (2024)

An Analysis of Malicious Packages in Open-Source Software in the Wild
by: Zhou, Xiaoyan, et al.
Published: (2024)

Efficient Software Vulnerability Detection Using Transformer-based Models
by: Shaik, Sameer, et al.
Published: (2026)

MVD: A Multi-Lingual Software Vulnerability Detection Framework
by: Zhang, Boyu, et al.
Published: (2024)

Code-Centric Detection of Vulnerability-Fixing Commits: A Unified Benchmark and Empirical Study
by: Loose, Nils, et al.
Published: (2026)

Fixing Security Vulnerabilities with AI in OSS-Fuzz
by: Zhang, Yuntong, et al.
Published: (2024)

Fast and Accurate Silent Vulnerability Fix Retrieval
by: Liu, Xueqing, et al.
Published: (2025)

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
by: Daneshvar, Seyed Shayan, et al.
Published: (2025)

Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs
by: Baird, Laura, et al.
Published: (2026)

Unlocking Reproducibility: Automating re-Build Process for Open-Source Software
by: Hassanshahi, Behnaz, et al.
Published: (2025)

VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
by: Cheng, Yiran, et al.
Published: (2024)

Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
by: Le, Triet H. M., et al.
Published: (2024)

Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
by: Le, Triet H. M., et al.
Published: (2024)

A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems
by: Zhou, Xiaoyan, et al.
Published: (2024)

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories
by: Shifat, Fariha Tanjim, et al.
Published: (2026)

Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
by: Le, Triet H. M., et al.
Published: (2024)

DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
by: Berabi, Berkay, et al.
Published: (2024)

Tracking Down Software Cluster Bombs: A Current State Analysis of the Free/Libre and Open Source Software (FLOSS) Ecosystem
by: Tatschner, Stefan, et al.
Published: (2025)

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
by: Wen, Xin-Cheng, et al.
Published: (2024)

Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024)

Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
by: Zheng, Xinyi, et al.
Published: (2024)

ARMS: A Vision for Actor Reputation Metric Systems in the Open-Source Software Supply Chain
by: Kalu, Kelechi G., et al.
Published: (2025)

The Code the World Depends On: A First Look at Technology Makers' Open Source Software Dependencies
by: Patrick, Cadence, et al.
Published: (2024)

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities
by: Vidal, Fernando Richter, et al.
Published: (2023)

Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
by: Ruan, Bonan, et al.
Published: (2025)