Cover Image

A Machine Learning Approach Towards SKILL Code Autocompletion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dehaerne, Enrique, Dey, Bappaditya, Meert, Wannes
Format:	Preprint
Published:	2023
Subjects:	Software Engineering Computation and Language Programming Languages I.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Test Driven Development with Large Language Models for Reliable and Verifiable Spreadsheet Code Generation: A Research Framework
by: Thorne, Simon, et al.
Published: (2025)

A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)

Plan with Code: Comparing approaches for robust NL to DSL generation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)

LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
by: Fakih, Mohamad, et al.
Published: (2024)

CIFE: Code Instruction-Following Evaluation
by: Gunnu, Sravani, et al.
Published: (2025)

Compressed code: the hidden effects of quantization and distillation on programming tokens
by: Siniaev, Viacheslav, et al.
Published: (2026)

Efficacy of Various Large Language Models in Generating Smart Contracts
by: Chatterjee, Siddhartha, et al.
Published: (2024)

Evaluating the Limitations of Local LLMs in Solving Complex Programming Challenges
by: Matotek, Kadin, et al.
Published: (2025)

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches
by: Wienczkowski, Michael
Published: (2026)

Improved IR-based Bug Localization with Intelligent Relevance Feedback
by: Samir, Asif Mohammed, et al.
Published: (2025)

Anka: A Domain-Specific Language for Reliable LLM Code Generation
by: Mazrouei, Saif Khalfan Saif Al
Published: (2025)

Towards Single-System Illusion in Software-Defined Vehicles -- Automated, AI-Powered Workflow
by: Lebioda, Krzysztof, et al.
Published: (2024)

Evaluating LLM-driven User-Intent Formalization for Verification-Aware Languages
by: Lahiri, Shuvendu K.
Published: (2024)

Proof Automation with Large Language Models
by: Lu, Minghai, et al.
Published: (2024)

NormCode Canvas: Making LLM Agentic Workflows Development Sustainable via Case-Based Reasoning
by: Guan, Xin, et al.
Published: (2026)

CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution
by: Jana, Prithwish, et al.
Published: (2023)

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries
by: Fachada, Nuno, et al.
Published: (2025)

Toward a Corpus Study of the Dynamic Gradual Type
by: Nsofor, Dibri, et al.
Published: (2025)

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation
by: He, Kaifeng, et al.
Published: (2025)

Exploring LLMs for User Story Extraction from Mockups
by: Firmenich, Diego, et al.
Published: (2026)

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench
by: Yu, Boxi, et al.
Published: (2025)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
by: Basit, Abdul, et al.
Published: (2025)

Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
by: Jalil, Sajed, et al.
Published: (2025)

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems
by: Petrovic, Nenad, et al.
Published: (2024)

SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair
by: Dinu, Ion George, et al.
Published: (2026)

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
by: Holt, Samuel, et al.
Published: (2023)

Can AI Assist in Olympiad Coding
by: Ren, Samuel
Published: (2025)

Comparative Analysis of LLM Abliteration Methods: A Cross-Architecture Evaluation
by: Young, Richard J.
Published: (2025)

ToolCaching: Towards Efficient Caching for LLM Tool-calling
by: Zhai, Yi, et al.
Published: (2026)

The Path Not Taken: Duality in Reasoning about Program Execution
by: Hasanov, Eshgin, et al.
Published: (2026)

Examination of Code generated by Large Language Models
by: Beer, Robin, et al.
Published: (2024)

Mechanistic Understanding of Language Models in Syntactic Code Completion
by: Miller, Samuel, et al.
Published: (2025)

CodeEvolve: LLM-Driven Evolutionary Optimization with Runtime-Enriched Target Selection for Multi-Language Code Enhancement
by: Borra, Ajay Krishna, et al.
Published: (2026)

Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP
by: Vogel, Martin, et al.
Published: (2026)

The Syntax and Semantics of einsum
by: Wenig, Maurice, et al.
Published: (2025)

Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development
by: Tran, Hung, et al.
Published: (2026)

SIADAFIX: issue description response for adaptive program repair
by: Cao, Xin, et al.
Published: (2025)

Review Beats Planning: Dual-Model Interaction Patterns for Code Synthesis
by: Miller, Jan
Published: (2026)

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
by: Min, Marcus J., et al.
Published: (2023)

RelRepair: Enhancing Automated Program Repair by Retrieving Relevant Code
by: Liu, Shunyu, et al.
Published: (2025)