Copertina

Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Weixing, Jiang, Bowen, Fu, Yuhong, Koziolek, Anne, Hebig, Regina, Strüber, Daniel
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

Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs
di: Zhang, Weixing, et al.
Pubblicazione: (2025)

Development and Evolution of Xtext-based DSLs on GitHub: An Empirical Investigation
di: Zhang, Weixing, et al.
Pubblicazione: (2025)

Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution
di: Zhang, Weixing, et al.
Pubblicazione: (2026)

Supporting Meta-model-based Language Evolution and Rapid Prototyping with Automated Grammar Optimization
di: Zhang, Weixing, et al.
Pubblicazione: (2024)

EATXT: A textual concrete syntax for EAST-ADL
di: Zhang, Weixing, et al.
Pubblicazione: (2024)

Round-trip Engineering for Tactical DDD: A Constraint-Based Vision for the Masses
di: Zhang, Weixing, et al.
Pubblicazione: (2026)

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

Spec2Control: Automating PLC/DCS Control-Logic Engineering from Natural Language Requirements with LLMs - A Multi-Plant Evaluation
di: Koziolek, Heiko, et al.
Pubblicazione: (2025)

Can I Check What I Designed? Mapping Security Design DSLs to Code Analyzers
di: Peldszus, Sven, et al.
Pubblicazione: (2026)

Software Reconfiguration in Robotics
di: Peldszus, Sven, et al.
Pubblicazione: (2023)

Towards Automated Support for the Co-Evolution of Meta-Models and Grammars
di: Zhang, Weixing
Pubblicazione: (2023)

Automated Control Logic Test Case Generation using Large Language Models
di: Koziolek, Heiko, et al.
Pubblicazione: (2024)

Who's Who? LLM-assisted Software Traceability with Architecture Entity Recognition
di: Fuchß, Dominik, et al.
Pubblicazione: (2025)

Manifesto from Dagstuhl Perspectives Workshop 24452 -- Reframing Technical Debt
di: Avgeriou, Paris, et al.
Pubblicazione: (2025)

Measuring Computer Science Enthusiasm: A Questionnaire-Based Analysis of Age and Gender Effects on Students' Interest
di: Marquardt, Kai, et al.
Pubblicazione: (2025)

A Roadmap for Tamed Interactions with Large Language Models
di: Scotti, Vincenzo, et al.
Pubblicazione: (2025)

Improving Compiler Bug Isolation by Leveraging Large Language Models
di: Qi, Yixian, et al.
Pubblicazione: (2025)

Leveraging Sustainable Systematic Literature Reviews
di: Santos, Vinicius dos, et al.
Pubblicazione: (2025)

Gamification with Purpose: What Learners Prefer to Motivate Their Learning
di: Marquardt, Kai, et al.
Pubblicazione: (2025)

SESR-Eval: Dataset for Evaluating LLMs in the Title-Abstract Screening of Systematic Reviews
di: Huotala, Aleksi, et al.
Pubblicazione: (2025)

Can LLMs Recover Program Semantics? A Systematic Evaluation with Symbolic Execution
di: Feng, Rong, et al.
Pubblicazione: (2025)

Inter-instance Data Impacts in Business Processes: A Model-based Analysis
di: Evron, Yotam, et al.
Pubblicazione: (2024)

Leveraging LLMs for the Quality Assurance of Software Requirements
di: Lubos, Sebastian, et al.
Pubblicazione: (2024)

SeBS-Flow: Benchmarking Serverless Cloud Function Workflows
di: Schmid, Larissa, et al.
Pubblicazione: (2024)

Automated and Context-Aware Code Documentation Leveraging Advanced LLMs
di: Sarker, Swapnil Sharma, et al.
Pubblicazione: (2025)

Systematic literature review on forecasting and prediction of technical debt evolution
di: Ajibode, Adekunle, et al.
Pubblicazione: (2024)

LDMDroid: Leveraging LLMs for Detecting Data Manipulation Errors in Android Apps
di: Xiao, Xiangyang, et al.
Pubblicazione: (2026)

How Quantization Impacts Privacy Risk on LLMs for Code?
di: Haque, Md Nazmul, et al.
Pubblicazione: (2025)

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction
di: Adnan, Bassam, et al.
Pubblicazione: (2025)

Context Matters: Evaluating Context Strategies for Automated ADR Generation Using LLMs
di: Gupta, Aviral, et al.
Pubblicazione: (2026)

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
di: KC, Pragyan, et al.
Pubblicazione: (2025)

Towards Leveraging LLMs to Generate Abstract Penetration Test Cases from Software Architecture
di: Jafari, Mahdi, et al.
Pubblicazione: (2026)

CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association
di: Lin, Dan, et al.
Pubblicazione: (2024)

An Experience Report on a Pedagogically Controlled, Curriculum-Constrained AI Tutor for SE Education
di: Happe, Lucia, et al.
Pubblicazione: (2025)

A formal definition of loop unrolling with applications to test coverage
di: Meyer, Bertrand
Pubblicazione: (2024)

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
di: Fathallah, Nadeen, et al.
Pubblicazione: (2025)

RBCTest: Leveraging LLMs to Mine and Verify Oracles of API Response Bodies for RESTful API Testing
di: Huynh, Hieu, et al.
Pubblicazione: (2025)

WIP: Leveraging LLMs for Enforcing Design Principles in Student Code: Analysis of Prompting Strategies and RAG
di: Kolhatkar, Dhruv, et al.
Pubblicazione: (2025)

Secure or Suspect? Investigating Package Hallucinations of Shell Command in Original and Quantized LLMs
di: Haque, Md Nazmul, et al.
Pubblicazione: (2025)

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