Cover Image

Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Islam, Nafis Tanveer, Parra, Gonzalo De La Torre, Manual, Dylan, Jadliwala, Murtuza, Najafirad, Peyman
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
by: Islam, Nafis Tanveer, et al.
Published: (2024)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)

An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
by: Islam, Nafis Tanveer, et al.
Published: (2023)

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
by: Nunez, Ana, et al.
Published: (2024)

Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
by: Islam, Nafis Tanveer, et al.
Published: (2024)

Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
by: Manuel, Dylan, et al.
Published: (2024)

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub
by: Kancharoendee, Sushawapak, et al.
Published: (2025)

Multitask-based Evaluation of Open-Source LLM on Software Vulnerability
by: Yin, Xin, 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)

Optimizing Code Embeddings and ML Classifiers for Python Source Code Vulnerability Detection
by: Farasat, Talaya, et al.
Published: (2025)

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
by: Cheng, Yiran, et al.
Published: (2025)

Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities
by: Wen, Victor, et al.
Published: (2026)

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

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

PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software
by: Li, Kaixuan, et al.
Published: (2024)

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
by: Spracklen, Joseph, et al.
Published: (2024)

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

VFArchē: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software
by: Zhang, Lyuye, et al.
Published: (2025)

Understanding the Issue Types in Open Source Blockchain-based Software Projects with the Transformer-based BERTopic
by: Opu, Md Nahidul Islam, et al.
Published: (2025)

An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
by: Foalem, Patrick Loic, et al.
Published: (2026)

PhantomRun: Auto Repair of Compilation Errors in Embedded Open Source Software
by: Fu, Han, et al.
Published: (2026)

An Overview of Cyber Security Funding for Open Source Software
by: Ruohonen, Jukka, et al.
Published: (2024)

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
by: Ponta, Serena E., et al.
Published: (2019)

Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
by: Chen, Huashan, et al.
Published: (2025)

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

Measuring Software Development Waste in Open-Source Software Projects
by: Varanasi, Dhiraj SM, et al.
Published: (2024)

Measuring Software Innovation with Open Source Software Development Data
by: Brown, Eva Maxfield, et al.
Published: (2024)

Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
by: Saimbhi, Amanpreet Singh
Published: (2025)

Enterprise-Driven Open Source Software: A Case Study on Security Automation
by: Angermeir, Florian, et al.
Published: (2021)

Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks
by: Rabbi, Md Fazle, et al.
Published: (2025)

Understanding Underrepresented Groups in Open Source Software
by: Santos, Reydne, et al.
Published: (2025)

Extension Decisions in Open Source Software Ecosystem
by: Onagh, Elmira, et al.
Published: (2025)

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

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)

An Approach of Structure‐Enhanced Code‐Centric Graph Learning for Just‐in‐Time Software Vulnerability Detection
by: Phu Pham, et al.
Published: (2026)

Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
by: Shen, Mingjie, et al.
Published: (2023)

Cuvis.Ai: An Open-Source, Low-Code Software Ecosystem for Hyperspectral Processing and Classification
by: Hanson, Nathaniel, et al.
Published: (2024)

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws
by: Centellas-Claros, Leonardo, et al.
Published: (2025)