Saved in:
| Main Authors: | Khan, Monoshiz Mahbub, Yu, Zhe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.03431 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Story Point Estimation With Comparative Learning
by: Khan, Monoshiz Mahbub, et al.
Published: (2025)
by: Khan, Monoshiz Mahbub, et al.
Published: (2025)
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
by: Mahbub, Parvez, et al.
Published: (2022)
by: Mahbub, Parvez, et al.
Published: (2022)
Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
by: Liu, Aofan, et al.
Published: (2025)
by: Liu, Aofan, et al.
Published: (2025)
Enhancing Python Programming Education with an AI-Powered Code Helper: Design, Implementation, and Impact
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software
by: Mahbub, Riasat, et al.
Published: (2024)
by: Mahbub, Riasat, et al.
Published: (2024)
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
by: Sedykh, Ivan, et al.
Published: (2023)
by: Sedykh, Ivan, et al.
Published: (2023)
Beyond Retrieval: A Multitask Benchmark and Model for Code Search
by: Xue, Siqiao, et al.
Published: (2026)
by: Xue, Siqiao, et al.
Published: (2026)
A Taxonomy of Inefficiencies in LLM-Generated Python Code
by: Abbassi, Altaf Allah, et al.
Published: (2025)
by: Abbassi, Altaf Allah, et al.
Published: (2025)
Optimizing Code Embeddings and ML Classifiers for Python Source Code Vulnerability Detection
by: Farasat, Talaya, et al.
Published: (2025)
by: Farasat, Talaya, et al.
Published: (2025)
Search-based Hyperparameter Tuning for Python Unit Test Generation
by: Lukasczyk, Stephan, et al.
Published: (2025)
by: Lukasczyk, Stephan, et al.
Published: (2025)
GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
by: Guo, Hanyang, et al.
Published: (2025)
by: Guo, Hanyang, et al.
Published: (2025)
When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild
by: Temkulkiat, Nanthit, et al.
Published: (2026)
by: Temkulkiat, Nanthit, et al.
Published: (2026)
TIT: A Tree-Structured Instruction Tuning Approach for LLM-Based Code Translation
by: Jiang, He, et al.
Published: (2025)
by: Jiang, He, et al.
Published: (2025)
Type-aware LLM-based Regression Test Generation for Python Programs
by: Liu, Runlin, et al.
Published: (2025)
by: Liu, Runlin, et al.
Published: (2025)
ArkTS-CodeSearch: A Open-Source ArkTS Dataset for Code Retrieval
by: He, Yulong, et al.
Published: (2026)
by: He, Yulong, et al.
Published: (2026)
I Can't Share Code, but I need Translation -- An Empirical Study on Code Translation through Federated LLM
by: Kumar, Jahnavi, et al.
Published: (2025)
by: Kumar, Jahnavi, et al.
Published: (2025)
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)
Comparing ML-Specific and General Python Code Smells Across Project Characteristics
by: Agh, Halimeh, et al.
Published: (2026)
by: Agh, Halimeh, et al.
Published: (2026)
ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis
by: Wang, Siqi, et al.
Published: (2025)
by: Wang, Siqi, et al.
Published: (2025)
PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
by: Charatvaraphan, Rujiphart, et al.
Published: (2025)
by: Charatvaraphan, Rujiphart, et al.
Published: (2025)
A Dataset of Reproducible Flaky-Test Failures
by: Rafi, Suzzana, et al.
Published: (2026)
by: Rafi, Suzzana, et al.
Published: (2026)
Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
by: Tao, Qingxiao, et al.
Published: (2024)
by: Tao, Qingxiao, et al.
Published: (2024)
Towards Translating Real-World Code with LLMs: A Study of Translating to Rust
by: Eniser, Hasan Ferit, et al.
Published: (2024)
by: Eniser, Hasan Ferit, et al.
Published: (2024)
LegacyTranslate: LLM-based Multi-Agent Method for Legacy Code Translation
by: Moti, Zahra, et al.
Published: (2026)
by: Moti, Zahra, et al.
Published: (2026)
Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation
by: Rabbi, Fazle, et al.
Published: (2026)
by: Rabbi, Fazle, et al.
Published: (2026)
Co-Evolution of Types and Dependencies: Towards Repository-Level Type Inference for Python Code
by: Sun, Shuo, et al.
Published: (2025)
by: Sun, Shuo, et al.
Published: (2025)
No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair
by: Zhang, Quanjun, et al.
Published: (2024)
by: Zhang, Quanjun, et al.
Published: (2024)
Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation
by: Lu, Hanzhen, et al.
Published: (2024)
by: Lu, Hanzhen, et al.
Published: (2024)
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion
by: Guo, Qi, et al.
Published: (2024)
by: Guo, Qi, et al.
Published: (2024)
Python Symbolic Execution with LLM-powered Code Generation
by: Wang, Wenhan, et al.
Published: (2024)
by: Wang, Wenhan, et al.
Published: (2024)
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
by: Bhattarai, Manish, et al.
Published: (2024)
by: Bhattarai, Manish, et al.
Published: (2024)
Function-to-Style Guidance of LLMs for Code Translation
by: Zhang, Longhui, et al.
Published: (2025)
by: Zhang, Longhui, et al.
Published: (2025)
Revisiting Code Search in a Two-Stage Paradigm
by: Hu, Fan, et al.
Published: (2022)
by: Hu, Fan, et al.
Published: (2022)
An Exploratory Eye Tracking Study on How Developers Classify and Debug Python Code in Different Paradigms
by: Flint, Samuel W., et al.
Published: (2025)
by: Flint, Samuel W., et al.
Published: (2025)
MigMate: A VS Code Extension for LLM-based Library Migration of Python Projects
by: Kebede, Matthias, et al.
Published: (2026)
by: Kebede, Matthias, et al.
Published: (2026)
From Code Changes to Quality Gains: An Empirical Study in Python ML Systems with PyQu
by: Almukhtar, Mohamed, et al.
Published: (2025)
by: Almukhtar, Mohamed, et al.
Published: (2025)
ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)
by: He, Minghua, et al.
Published: (2025)
When More Retrieval Hurts: Retrieval-Augmented Code Review Generation
by: Meng, Qianru, et al.
Published: (2025)
by: Meng, Qianru, et al.
Published: (2025)
Code Quality Analysis of Translations from C to Rust
by: Tadesse, Biruk, et al.
Published: (2026)
by: Tadesse, Biruk, et al.
Published: (2026)
Similar Items
-
Efficient Story Point Estimation With Comparative Learning
by: Khan, Monoshiz Mahbub, et al.
Published: (2025) -
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
by: Mahbub, Parvez, et al.
Published: (2022) -
Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
by: Liu, Aofan, et al.
Published: (2025) -
Enhancing Python Programming Education with an AI-Powered Code Helper: Design, Implementation, and Impact
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025) -
On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software
by: Mahbub, Riasat, et al.
Published: (2024)