Imagen de Portada

Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bucaioni, Alessio, Weyssow, Martin, He, Junda, Lyu, Yunbo, Lo, David
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Functional Software Reference Architecture for LLM-Integrated Systems
por: Bucaioni, Alessio, et al.
Publicado: (2025)

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
por: He, Junda, et al.
Publicado: (2024)

LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead
por: He, Junda, et al.
Publicado: (2025)

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
por: Shi, Jieke, et al.
Publicado: (2024)

Quantum Artificial Intelligence for Software Engineering: the Road Ahead
por: Wang, Xinyi, et al.
Publicado: (2025)

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
por: Zhou, Xin, et al.
Publicado: (2024)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
por: Zhou, Xin, et al.
Publicado: (2025)

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
por: Nursapa, Samal, et al.
Publicado: (2025)

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation
por: Yang, Chengran, et al.
Publicado: (2023)

Human in the Loop for Fuzz Testing: Literature Review and the Road Ahead
por: Yu, Jiongchi, et al.
Publicado: (2026)

Harnessing Large Language Models for Curated Code Reviews
por: Sghaier, Oussama Ben, et al.
Publicado: (2025)

Foundation Models for Software Engineering of Cyber-Physical Systems: the Road Ahead
por: Lu, Chengjie, et al.
Publicado: (2025)

Software Architecture Meets LLMs: A Systematic Literature Review
por: Schmid, Larissa, et al.
Publicado: (2025)

Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics
por: Hall, Pernilla, et al.
Publicado: (2026)

LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda
por: Gomes, Victoria, et al.
Publicado: (2026)

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
por: Weyssow, Martin, et al.
Publicado: (2023)

From Code to Courtroom: LLMs as the New Software Judges
por: He, Junda, et al.
Publicado: (2025)

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
por: Hu, Xing, et al.
Publicado: (2025)

Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel
por: Lyu, Yunbo, et al.
Publicado: (2023)

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead
por: Rao, Hongzhou, et al.
Publicado: (2025)

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits
por: Lyu, Yunbo, et al.
Publicado: (2026)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection
por: Zhang, Ting, et al.
Publicado: (2025)

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
por: Weyssow, Martin, et al.
Publicado: (2023)

Quantum Software Engineering: Roadmap and Challenges Ahead
por: Murillo, Juan M., et al.
Publicado: (2024)

Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies
por: Shi, Jieke, et al.
Publicado: (2024)

When Retriever Meets Generator: A Joint Model for Code Comment Generation
por: Le, Tien P. T., et al.
Publicado: (2025)

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions
por: Wang, Chenyu, et al.
Publicado: (2024)

Towards Mixed-Criticality Software Architectures for Centralized HPC Platforms in Software-Defined Vehicles: A Systematic Literature Review
por: Mauser, Lucas, et al.
Publicado: (2025)

Large Language Models for Software Engineering: A Systematic Literature Review
por: Hou, Xinyi, et al.
Publicado: (2023)

Teaching Literature Reviewing for Software Engineering Research
por: Baltes, Sebastian, et al.
Publicado: (2024)

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures
por: Rodriguez-Cardenas, Daniel, et al.
Publicado: (2026)

Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation
por: Fahim, Md Asif Iqbal, et al.
Publicado: (2026)

SENAI: Towards Software Engineering Native Generative Artificial Intelligence
por: Saad, Mootez, et al.
Publicado: (2025)

Envisioning Responsible Quantum Software Engineering and Quantum Artificial Intelligence
por: Bano, Muneera, et al.
Publicado: (2024)

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
por: Liu, Yue, et al.
Publicado: (2025)

How Agentic AI Coding Assistants Become the Attacker's Shell
por: Liu, Yue, et al.
Publicado: (2026)

Software Solutions for Newcomers' Onboarding in Software Projects: A Systematic Literature Review
por: Santos, Italo, et al.
Publicado: (2024)

Greening Large Language Models of Code
por: Shi, Jieke, et al.
Publicado: (2023)

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents
por: Chang, Jianming, et al.
Publicado: (2025)

Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?
por: Lyu, Yunbo, et al.
Publicado: (2025)