Copertina

Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Zejun, Gan, Yixin, Xing, Zhenchang, Zhang, Tian, Li, Yi, Xu, Xiwei, Lu, Qinghua, Zhu, Liming
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation
di: Zhao, Dehai, et al.
Pubblicazione: (2025)

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models
di: Zhang, Zejun, et al.
Pubblicazione: (2024)

Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead
di: Su, Yanqi, et al.
Pubblicazione: (2024)

A Reference Architecture for Designing Foundation Model based Systems
di: Lu, Qinghua, et al.
Pubblicazione: (2023)

Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents
di: Lu, Qinghua, et al.
Pubblicazione: (2023)

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
di: Lu, Qinghua, et al.
Pubblicazione: (2023)

Evaluation-Driven Development and Operations of LLM Agents: A Process Model and Reference Architecture
di: Xia, Boming, et al.
Pubblicazione: (2024)

Compiling Code LLMs into Lightweight Executables
di: Shi, Jieke, et al.
Pubblicazione: (2026)

A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model
di: Zhou, Jingwen, et al.
Pubblicazione: (2024)

Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future
di: Xia, Boming, et al.
Pubblicazione: (2023)

To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
di: Zhang, Dawen, et al.
Pubblicazione: (2023)

Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
di: Zhang, Tianyi, et al.
Pubblicazione: (2025)

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
di: Xia, Boming, et al.
Pubblicazione: (2024)

Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
di: Xia, Boming, et al.
Pubblicazione: (2023)

A Benchmark for Localizing Code and Non-Code Issues in Software Projects
di: Zhang, Zejun, et al.
Pubblicazione: (2025)

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines
di: Xu, Xiwei, et al.
Pubblicazione: (2025)

CONCORD: Towards a DSL for Configurable Graph Code Representation
di: Saad, Mootez, et al.
Pubblicazione: (2024)

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
di: Zhang, Dawen, et al.
Pubblicazione: (2023)

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension
di: Xu, Fangzhou, et al.
Pubblicazione: (2024)

An Extended Pattern Collection for Blockchain-based Applications
di: Xu, Xiwei, et al.
Pubblicazione: (2025)

Architectural Patterns for Designing Quantum Artificial Intelligence Systems
di: Klymenko, Mykhailo, et al.
Pubblicazione: (2024)

Automated Deep Learning Optimization via DSL-Based Source Code Transformation
di: Wang, Ruixin, et al.
Pubblicazione: (2024)

SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows
di: Zhou, Jingwen, et al.
Pubblicazione: (2025)

Towards Advancing Code Generation with Large Language Models: A Research Roadmap
di: Jin, Haolin, et al.
Pubblicazione: (2025)

LogiAgent: Automated Logical Testing for REST Systems with LLM-Based Multi-Agents
di: Zhang, Ke, et al.
Pubblicazione: (2025)

Checkstyle+: Reducing Technical Debt Through The Use of Linters with LLMs
di: Dodor, Ella, et al.
Pubblicazione: (2025)

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps
di: Chen, Jieshan, et al.
Pubblicazione: (2024)

CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System
di: Hu, Li, et al.
Pubblicazione: (2025)

DSL or Code? Evaluating the Quality of LLM-Generated Algebraic Specifications: A Case Study in Optimization at Kinaxis
di: Ayoughi, Negin, et al.
Pubblicazione: (2026)

PTMPicker: Facilitating Efficient Pretrained Model Selection for Application Developers
di: Liu, Pei, et al.
Pubblicazione: (2025)

A test-free semantic mistakes localization framework in Neural Code Translation
di: Chen, Lei, et al.
Pubblicazione: (2024)

DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models
di: Yuan, Mingyue, et al.
Pubblicazione: (2024)

Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching
di: Ma, Chengyan, et al.
Pubblicazione: (2026)

Software Security Mapping Framework: Operationalization of Security Requirements
di: Lee, Sung Une, et al.
Pubblicazione: (2025)

The "4W+1H" of Software Supply Chain Security Checklist for Critical Infrastructure
di: Dong, Liming, et al.
Pubblicazione: (2025)

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems
di: Zhang, Dawen, et al.
Pubblicazione: (2024)

"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development
di: Pan, Shidong, et al.
Pubblicazione: (2024)

Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects
di: Ait, Adem, et al.
Pubblicazione: (2025)

AgentArcEval: An Architecture Evaluation Method for Foundation Model based Agents
di: Lu, Qinghua, et al.
Pubblicazione: (2025)

Neurosymbolic Repo-level Code Localization
di: Xu, Xiufeng, et al.
Pubblicazione: (2026)