:: Library Catalog

$Copertina$

Salvato in:

Dettagli Bibliografici
Autori principali:	Math, Hugo, Lorenz, Julian, Oelsner, Stefan, Lienhart, Rainer
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Software Engineering
Accesso online:	https://arxiv.org/abs/2602.01155
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Transforming Vehicle Diagnostics: A Multimodal Approach to Error Patterns Prediction
di: Math, Hugo, et al.
Pubblicazione: (2026)

Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
di: Math, Hugo, et al.
Pubblicazione: (2025)

One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
di: Math, Hugo, et al.
Pubblicazione: (2025)

CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
di: Lyu, Zongyi, et al.
Pubblicazione: (2026)

Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents
di: Liu, Yue, et al.
Pubblicazione: (2024)

Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation
di: Zhang, Lingzhe, et al.
Pubblicazione: (2026)

Automated Multi-Source Debugging and Natural Language Error Explanation for Dashboard Applications
di: Tata, Devendra, et al.
Pubblicazione: (2026)

Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization
di: Peng, Huiyun, et al.
Pubblicazione: (2026)

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
di: Wang, Yawen, et al.
Pubblicazione: (2026)

ARCEAK: An Automated Rule Checking Framework Enhanced with Architectural Knowledge
di: Chen, Junyong, et al.
Pubblicazione: (2024)

Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and Rationale
di: Cai, Yangxiao, et al.
Pubblicazione: (2025)

AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
di: Wang, Zhaohui Geoffrey
Pubblicazione: (2026)

AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation
di: Khanzadeh, Sourena
Pubblicazione: (2025)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
di: Son, Ha Min, et al.
Pubblicazione: (2025)

Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns
di: Ng, Chi Him
Pubblicazione: (2024)

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
di: Li, Ruiyin, et al.
Pubblicazione: (2025)

Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework
di: de Gelder, E., et al.
Pubblicazione: (2020)

Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation
di: He, Qingsong, et al.
Pubblicazione: (2025)

Causal Reasoning in Software Quality Assurance: A Systematic Review
di: Giamattei, Luca, et al.
Pubblicazione: (2024)

REDO: Execution-Free Runtime Error Detection for COding Agents
di: Li, Shou, et al.
Pubblicazione: (2024)

Collaborative Agents for Automated Program Repair in Ruby
di: Akbarpour, Nikta, et al.
Pubblicazione: (2025)

ToolFuzz -- Automated Agent Tool Testing
di: Milev, Ivan, et al.
Pubblicazione: (2025)

CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
di: Huang, Dong, et al.
Pubblicazione: (2023)

AgenticTCAD: A LLM-based Multi-Agent Framework for Automated TCAD Code Generation and Device Optimization
di: Fan, Guangxi, et al.
Pubblicazione: (2025)

LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
di: Ma, Lipeng, et al.
Pubblicazione: (2025)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation
di: Yang, Dayu, et al.
Pubblicazione: (2025)

Evolving Excellence: Automated Optimization of LLM-based Agents
di: Brookes, Paul, et al.
Pubblicazione: (2025)

Multi-Task Program Error Repair and Explanatory Diagnosis
di: Xu, Zhenyu, et al.
Pubblicazione: (2024)

FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning
di: Ding, Haoran, et al.
Pubblicazione: (2026)

Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
di: Heiland, Lukas, et al.
Pubblicazione: (2023)

SPARC: Scenario Planning and Reasoning for Automated C Unit Test Generation
di: Chowdhury, Jaid Monwar, et al.
Pubblicazione: (2026)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

Automated Code Review Using Large Language Models with Symbolic Reasoning
di: Icoz, Busra, et al.
Pubblicazione: (2025)

An Empirical Study on LLM-based Agents for Automated Bug Fixing
di: Meng, Xiangxin, et al.
Pubblicazione: (2024)

MarsCode Agent: AI-native Automated Bug Fixing
di: Liu, Yizhou, et al.
Pubblicazione: (2024)

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
di: Gandhi, Shubham, et al.
Pubblicazione: (2025)

Agyn: A Multi-Agent System for Team-Based Autonomous Software Engineering
di: Benkovich, Nikita, et al.
Pubblicazione: (2026)

The Rise of Agentic Testing: Multi-Agent Systems for Robust Software Quality Assurance
di: Naqvi, Saba, et al.
Pubblicazione: (2026)

A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
di: Liu, Daniel, et al.
Pubblicazione: (2026)

Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought
di: Zhang, Lingzhe, et al.
Pubblicazione: (2025)