Copertina

Software Vulnerability and Functionality Assessment using LLMs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jensen, Rasmus Ingemann Tuffveson, Tawosi, Vali, Alamir, Salwa
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Search-based Optimisation of LLM Learning Shots for Story Point Estimation
di: Tawosi, Vali, et al.
Pubblicazione: (2024)

ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
di: Tawosi, Vali, et al.
Pubblicazione: (2025)

Meta-RAG on Large Codebases Using Code Summarization
di: Tawosi, Vali, et al.
Pubblicazione: (2025)

LLM Agents for Automated Dependency Upgrades
di: Tawosi, Vali, et al.
Pubblicazione: (2025)

Translating between SQL Dialects for Cloud Migration
di: Zmigrod, Ran, et al.
Pubblicazione: (2024)

CodeMirage: Hallucinations in Code Generated by Large Language Models
di: Agarwal, Vibhor, et al.
Pubblicazione: (2024)

Bridging LLM Planning Agents and Formal Methods: A Case Study in Plan Verification
di: Ramani, Keshav, et al.
Pubblicazione: (2025)

EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2024)

PELLI: Framework to effectively integrate LLMs for quality software generation
di: Krebs, Rasmus, et al.
Pubblicazione: (2026)

Explaining Software Vulnerabilities with Large Language Models
di: Johnson, Oshando, et al.
Pubblicazione: (2025)

An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
di: Guo, Yuejun, et al.
Pubblicazione: (2026)

Learning Generalizable Multimodal Representations for Software Vulnerability Detection
di: Dong, Zeming, et al.
Pubblicazione: (2026)

LLMs: A Game-Changer for Software Engineers?
di: Haque, Md Asraful
Pubblicazione: (2024)

Reasoning with LLMs for Zero-Shot Vulnerability Detection
di: Zibaeirad, Arastoo, et al.
Pubblicazione: (2025)

Toward Scalable Automated Repository-Level Datasets for Software Vulnerability Detection
di: Lbath, Amine
Pubblicazione: (2026)

Are LLMs Correctly Integrated into Software Systems?
di: Shao, Yuchen, et al.
Pubblicazione: (2024)

A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
di: Kaniewski, Sabrina, et al.
Pubblicazione: (2025)

SCoPE: Evaluating LLMs for Software Vulnerability Detection
di: Gonçalves, José, et al.
Pubblicazione: (2024)

Multi-role Consensus through LLMs Discussions for Vulnerability Detection
di: Mao, Zhenyu, et al.
Pubblicazione: (2024)

Impact of LLMs on Team Collaboration in Software Development
di: Dhanuka, Devang
Pubblicazione: (2025)

S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
di: Shaik, Kareem, et al.
Pubblicazione: (2024)

ARLO: A Tailorable Approach for Transforming Natural Language Software Requirements into Architecture using LLMs
di: Helmi, Tooraj
Pubblicazione: (2025)

Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better?
di: Zibaeirad, Arastoo, et al.
Pubblicazione: (2025)

VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching
di: Zibaeirad, Arastoo, et al.
Pubblicazione: (2024)

Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection
di: Yusuf, Imam Nur Bani, et al.
Pubblicazione: (2024)

Enhancing Software Vulnerability Detection Through Adaptive Test Input Generation Using Genetic Algorithm
di: Mehendran, Yanusha, et al.
Pubblicazione: (2025)

Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
di: Gajjar, Jugal, et al.
Pubblicazione: (2025)

Using LLMs in Software Requirements Specifications: An Empirical Evaluation
di: Krishna, Madhava, et al.
Pubblicazione: (2024)

Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering
di: Rodriguez-Cardenas, Daniel, et al.
Pubblicazione: (2026)

Towards Requirements Engineering for RAG Systems
di: Sporsem, Tor, et al.
Pubblicazione: (2025)

The Potential of LLMs in Automating Software Testing: From Generation to Reporting
di: Sherifi, Betim, et al.
Pubblicazione: (2024)

Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives
di: Khati, Dipin, et al.
Pubblicazione: (2025)

ArchAgent: Scalable Legacy Software Architecture Recovery with LLMs
di: Pan, Rusheng, et al.
Pubblicazione: (2026)

Using LLMs in Generating Design Rationale for Software Architecture Decisions
di: Zhou, Xiyu, et al.
Pubblicazione: (2025)

Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
di: Ferino, Samuel, et al.
Pubblicazione: (2025)

LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations
di: Tóth, Rebeka, et al.
Pubblicazione: (2024)

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

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

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues
di: Lin, Yalan, et al.
Pubblicazione: (2024)

Lifecycle-Aware code generation: Leveraging Software Engineering Phases in LLMs
di: Xing, Xing, et al.
Pubblicazione: (2025)