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ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation

https://doi.org/10.1145/3728940
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.infsof.2024.107584openalex-snapshot
A search-and-fill strategy to code generation for complex software requirements
inferredcites →https://doi.org/10.1109/ase34967.2015openalex-snapshot
2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)
inferredcites →https://doi.org/10.1109/ase56229.2023openalex-snapshot
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
inferredcites →https://doi.org/10.1109/esem.2011.36openalex-snapshot
Recommended Steps for Thematic Synthesis in Software Engineering
inferredcites →https://doi.org/10.1109/icpc52881.2021openalex-snapshot
2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)
inferredcites →https://doi.org/10.1109/icse48619.2023.00072openalex-snapshot
Syntax and Domain Aware Model for Unsupervised Program Translation
inferredcites →https://doi.org/10.1109/icse48619.2023.00129openalex-snapshot
Automated Program Repair in the Era of Large Pre-trained Language Models
inferredcites →https://doi.org/10.1145/1806799.1806848openalex-snapshot
AURA
inferredcites →https://doi.org/10.1145/3510003.3510181openalex-snapshot
RoPGen
inferredcites →https://doi.org/10.1145/3551349.3559555openalex-snapshot
Few-shot training LLMs for project-specific code-summarization
inferredcites →https://doi.org/10.1145/3597503openalex-snapshot
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3597503.3623316openalex-snapshot
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
inferredcites →https://doi.org/10.1145/3597503.3639219openalex-snapshot
Evaluating Large Language Models in Class-Level Code Generation
inferredcites →https://doi.org/10.1145/3597503.3639226openalex-snapshot
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
inferredcites →https://doi.org/10.1145/3650212.3652140openalex-snapshot
Benchmarking Automated Program Repair: An Extensive Study on Both Real-World and Artificial Bugs
inferredcites →https://doi.org/10.1145/3675395openalex-snapshot
AceCoder : An Effective Prompting Technique Specialized in Code Generation
inferredcites →https://doi.org/10.1145/3690635openalex-snapshot
Structured Chain-of-Thought Prompting for Code Generation
inferredcites →https://doi.org/10.1162/tacl_a_00638openalex-snapshot
Lost in the Middle: How Language Models Use Long Contexts
inferredcites →https://doi.org/10.18653/v1/2024.acl-longopenalex-snapshot
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.214openalex-snapshot
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.559openalex-snapshot
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
inferredcites →https://doi.org/10.32388/atahd0openalex-snapshot
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion
inferredcites →https://doi.org/10.4230/lipics.esem.2026.85openalex-snapshot
Why Industry Migrates and When It Trusts LLMs: A Practitioner Survey on LLM-Assisted Software Migration
inferredcites →https://doi.org/10.48550/arxiv.2305.06161openalex-snapshot
StarCoder: may the source be with you!
inferredcites →https://doi.org/10.48550/arxiv.2404.00599openalex-snapshot
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10664-025-10800-4openalex-snapshot
R$$^2$$ComSync: improving code-comment synchronization with in-context learning and reranking
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107699openalex-snapshot
Assessing and improving syntactic adversarial robustness of pre-trained models for code translation
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00067openalex-snapshot
How Do Developers Use ChatGPT for Software Test Generation? Usage Patterns, Satisfaction, and Code Adoption Analysis
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00195openalex-snapshot
Polyglot: An Extensible Framework to Benchmark Code Translation with LLMs
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00048openalex-snapshot
Efficient Translation of Long Code Blocks Using Large Language Models
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00050openalex-snapshot
Refining LLM-Based Cobol-to-Java Translation via Natural Language Summary Augmentation
inferred← citeshttps://doi.org/10.1109/tse.2025.3644183openalex-snapshot
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality
inferred← citeshttps://doi.org/10.1109/wccis70285.2026.11650848openalex-snapshot
Trustworthy Programming Language Translation with Large Language Models: A Focused Review
inferred← citeshttps://doi.org/10.1145/3777383openalex-snapshot
Large Language Models for Code Translation: An In-Depth Analysis of Code Smells and Functional Correctness
inferred← citeshttps://doi.org/10.1145/3794763.3794826openalex-snapshot
Algorithm-Based Pipeline for Reliable and Intent-Preserving Code Translation with LLMs
inferred← citeshttps://doi.org/10.1145/3832783.3837486openalex-snapshot
ReCodeAgent: A Multi-agent Workflow for Language-Agnostic Translation and Validation of Large-Scale Repositories
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