Copertina

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guo, Jinyao, Wang, Chengpeng, Xu, Xiangzhe, Su, Zian, Zhang, Xiangyu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Programming Languages 68N30, 68T01 D.3.0; D.2.4; I.2.5; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLMDFA: Analyzing Dataflow in Code with Large Language Models
di: Wang, Chengpeng, et al.
Pubblicazione: (2024)

Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)
di: Koc, Vincent, et al.
Pubblicazione: (2025)

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
di: Haseeb, Muhammad
Pubblicazione: (2025)

DRS-OSS: Practical Diff Risk Scoring with LLMs
di: Sayedsalehi, Ali, et al.
Pubblicazione: (2025)

SLEAN: Simple Lightweight Ensemble Analysis Network for Multi-Provider LLM Coordination: Design, Implementation, and Vibe Coding Bug Investigation Case Study
di: Vargas, Matheus J. T.
Pubblicazione: (2025)

A Prompt Learning Framework for Source Code Summarization
di: Xu, Tingting, et al.
Pubblicazione: (2023)

Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
di: Khan, Ishraq, et al.
Pubblicazione: (2025)

AdvFusion: Adapter-based Knowledge Transfer for Code Summarization on Code Language Models
di: Saberi, Iman, et al.
Pubblicazione: (2023)

Dual-Process Scaffold Reasoning for Enhancing LLM Code Debugging
di: Hsieh, Po-Chung, et al.
Pubblicazione: (2025)

Generative AI and the Transformation of Software Development Practices
di: Acharya, Vivek
Pubblicazione: (2025)

TDAD: Test-Driven Agentic Development - Reducing Code Regressions in AI Coding Agents via Graph-Based Impact Analysis
di: Alonso, Pepe, et al.
Pubblicazione: (2026)

Utilization of Pre-trained Language Model for Adapter-based Knowledge Transfer in Software Engineering
di: Saberi, Iman, et al.
Pubblicazione: (2023)

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model
di: Zhao, Zelin, et al.
Pubblicazione: (2023)

Feature-Factory: Automating Software Feature Integration Using Generative AI
di: Vsevolodovna, Ruslan Idelfonso Magana
Pubblicazione: (2024)

AIRA: AI-Induced Risk Audit: A Structured Inspection Framework for AI-Generated Code
di: Parris, William M.
Pubblicazione: (2026)

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
di: Oza, Neeva, et al.
Pubblicazione: (2025)

Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
di: Platzer, André
Pubblicazione: (2024)

Large Language Models in Software Documentation and Modeling: A Literature Review and Findings
di: Radosky, Lukas, et al.
Pubblicazione: (2026)

SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions
di: Weiß, Matthias, et al.
Pubblicazione: (2026)

Implementing Knowledge Representation and Reasoning with Object Oriented Design
di: Bassiouny, Abdelrhman, et al.
Pubblicazione: (2026)

When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation
di: Oskooei, Amirkia Rafiei, et al.
Pubblicazione: (2025)

Semantic Modeling for World-Centered Architectures
di: Mantsivoda, Andrei, et al.
Pubblicazione: (2026)

AI for software engineering: from probable to provable
di: Meyer, Bertrand
Pubblicazione: (2025)

Assessing Reliability of Statistical Maximum Coverage Estimators in Fuzzing
di: Liyanage, Danushka, et al.
Pubblicazione: (2025)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
di: Nwokocha, Caleb Princewill
Pubblicazione: (2022)

A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
di: Ismail, Leila, et al.
Pubblicazione: (2025)

Optimizing Large Language Models for OpenAPI Code Completion
di: Petryshyn, Bohdan, et al.
Pubblicazione: (2024)

A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles
di: Saqr, Khalid M.
Pubblicazione: (2020)

Imandra CodeLogician: Neuro-Symbolic Reasoning for Precise Analysis of Software Logic
di: Lin, Hongyu, et al.
Pubblicazione: (2026)

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
di: Napoli, Rosario, et al.
Pubblicazione: (2025)

Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
di: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Pubblicazione: (2025)

On measuring grounding and generalizing grounding problems
di: Quigley, Daniel, et al.
Pubblicazione: (2025)

A Landmark-Aware Visual Navigation Dataset
di: Johnson, Faith, et al.
Pubblicazione: (2024)

Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning
di: Xu, Ruoran, et al.
Pubblicazione: (2026)

Conflict Essences for Transformation Rules with Nested Application Conditions -- Long Version
di: Lauer, Alexander, et al.
Pubblicazione: (2026)

D-SMART: Enhancing LLM Dialogue Consistency via Dynamic Structured Memory And Reasoning Tree
di: Lei, Xiang, et al.
Pubblicazione: (2025)

Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary Study
di: Abbasi, Mateen Ahmed, et al.
Pubblicazione: (2025)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
di: Su, Jiarui, et al.
Pubblicazione: (2026)

LLM Agents for Generating Microservice-based Applications: how complex is your specification?
di: Yellin, Daniel M.
Pubblicazione: (2025)

Learning Program Behavioral Models from Synthesized Input-Output Pairs
di: Mammadov, Tural, et al.
Pubblicazione: (2024)