Saved in:
| Main Author: | Westphal, Oliver |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.03642 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
by: Midolo, Alessandro, et al.
Published: (2025)
by: Midolo, Alessandro, et al.
Published: (2025)
Algorithm-Based Pipeline for Reliable and Intent-Preserving Code Translation with LLMs
by: Dipto, Shahriar Rumi, et al.
Published: (2026)
by: Dipto, Shahriar Rumi, et al.
Published: (2026)
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
Translating Large-Scale C Repositories to Idiomatic Rust
by: Dehghan, Saman, et al.
Published: (2025)
by: Dehghan, Saman, et al.
Published: (2025)
A Vulnerability Code Intent Summary Dataset
by: Huang, Yifan, et al.
Published: (2025)
by: Huang, Yifan, et al.
Published: (2025)
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
by: Zhang, Chenchen, et al.
Published: (2025)
by: Zhang, Chenchen, et al.
Published: (2025)
Describing Console I/O Behavior for Testing Student Submissions in Haskell
by: Westphal, Oliver, et al.
Published: (2020)
by: Westphal, Oliver, et al.
Published: (2020)
DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts
by: Rao, Nikitha, et al.
Published: (2024)
by: Rao, Nikitha, et al.
Published: (2024)
Uncovering Code Insights: Leveraging GitHub Artifacts for Deeper Code Understanding
by: Nevo, Ziv, et al.
Published: (2025)
by: Nevo, Ziv, et al.
Published: (2025)
SpecRover: Code Intent Extraction via LLMs
by: Ruan, Haifeng, et al.
Published: (2024)
by: Ruan, Haifeng, et al.
Published: (2024)
Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)
by: Treude, Christoph, et al.
Published: (2026)
Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Artisan: Agentic Artifact Evaluation
by: Baek, Doehyun, et al.
Published: (2026)
by: Baek, Doehyun, et al.
Published: (2026)
DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
by: Venigalla, Akhila Sri Manasa, et al.
Published: (2025)
by: Venigalla, Akhila Sri Manasa, et al.
Published: (2025)
From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)
by: Li, Yanzhou, et al.
Published: (2025)
Reusing Legacy Code in WebAssembly: Key Challenges of Cross-Compilation and Code Semantics Preservation
by: Baradaran, Sara, et al.
Published: (2024)
by: Baradaran, Sara, et al.
Published: (2024)
Agent-Based Software Artifact Evaluation
by: Wu, Zhaonan, et al.
Published: (2026)
by: Wu, Zhaonan, et al.
Published: (2026)
Optimizing Knowledge Utilization for Multi-Intent Comment Generation with Large Language Models
by: Li, Shuochuan, et al.
Published: (2025)
by: Li, Shuochuan, et al.
Published: (2025)
From Issues to Insights: RAG-based Explanation Generation from Software Engineering Artifacts
by: Pöttgen, Daniel, et al.
Published: (2026)
by: Pöttgen, Daniel, et al.
Published: (2026)
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
by: Guo, Chengquan, et al.
Published: (2025)
by: Guo, Chengquan, et al.
Published: (2025)
AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion
by: Jiang, Tianyue, et al.
Published: (2026)
by: Jiang, Tianyue, et al.
Published: (2026)
SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification
by: Zhou, Tianyang, et al.
Published: (2025)
by: Zhou, Tianyang, et al.
Published: (2025)
LLMs as Idiomatic Decompilers: Recovering High-Level Code from x86-64 Assembly for Dart
by: Abualazm, Raafat, et al.
Published: (2026)
by: Abualazm, Raafat, et al.
Published: (2026)
Consistent or Sensitive? Automated Code Revision Tools Against Semantics-Preserving Perturbations
by: Pirouzkhah, Shirin, et al.
Published: (2026)
by: Pirouzkhah, Shirin, et al.
Published: (2026)
Req2Road: A GenAI Pipeline for SDV Test Artifact Generation and On-Vehicle Execution
by: Zyberaj, Denesa, et al.
Published: (2026)
by: Zyberaj, Denesa, et al.
Published: (2026)
Research Artifacts in Software Engineering Publications: Status and Trends
by: Liu, Mugeng, et al.
Published: (2024)
by: Liu, Mugeng, et al.
Published: (2024)
On Developing an Artifact-based Approach to Regulatory Requirements Engineering
by: Kosenkov, Oleksandr, et al.
Published: (2024)
by: Kosenkov, Oleksandr, et al.
Published: (2024)
Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
by: Catal, Melih, et al.
Published: (2025)
by: Catal, Melih, et al.
Published: (2025)
SmartIntentNN: Towards Smart Contract Intent Detection
by: Huang, Youwei, et al.
Published: (2022)
by: Huang, Youwei, et al.
Published: (2022)
Contextualized Code Pretraining for Code Generation
by: Liu, Chen, et al.
Published: (2026)
by: Liu, Chen, et al.
Published: (2026)
From Code-Centric to Intent-Centric Software Engineering: A Reflexive Thematic Analysis of Generative AI, Agentic Systems, and Engineering Accountability
by: De La Cruz, Elyson
Published: (2026)
by: De La Cruz, Elyson
Published: (2026)
An Empirical Study on the Impact of Gender Diversity on Code Quality in AI Systems
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)
Semantic Caching and Intent-Driven Context Optimization for Multi-Agent Natural Language to Code Systems
by: Singh, Harmohit
Published: (2026)
by: Singh, Harmohit
Published: (2026)
Explainability as a Compliance Requirement: What Regulated Industries Need from AI Tools for Design Artifact Generation
by: Shah, Syed Tauhid Ullah, et al.
Published: (2025)
by: Shah, Syed Tauhid Ullah, et al.
Published: (2025)
CodeScore: Evaluating Code Generation by Learning Code Execution
by: Dong, Yihong, et al.
Published: (2023)
by: Dong, Yihong, et al.
Published: (2023)
Vibe Coding: Toward an AI-Native Paradigm for Semantic and Intent-Driven Programming
by: Bamil, Vinay
Published: (2025)
by: Bamil, Vinay
Published: (2025)
Adversarial Reasoning for Repair Based on Inferred Program Intent
by: Ye, He, et al.
Published: (2025)
by: Ye, He, et al.
Published: (2025)
Auxiliary Artifacts in Requirements Traceability: A Systematic Mapping Study
by: Abdeen, Waleed, et al.
Published: (2025)
by: Abdeen, Waleed, et al.
Published: (2025)
Similar Items
-
Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
by: Midolo, Alessandro, et al.
Published: (2025) -
Algorithm-Based Pipeline for Reliable and Intent-Preserving Code Translation with LLMs
by: Dipto, Shahriar Rumi, et al.
Published: (2026) -
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026) -
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025) -
Translating Large-Scale C Repositories to Idiomatic Rust
by: Dehghan, Saman, et al.
Published: (2025)