Exploring Large Language Models for Analyzing and Improving Method Names in Scientific Code
Fuente:
arXiv
Saved in:
| Main Authors: | Larsen, Gunnar, Wong, Carol, Peruma, Anthony |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Method Names in Jupyter Notebooks: An Exploratory Study
by: Wong, Carol, et al.
Published: (2025)
by: Wong, Carol, et al.
Published: (2025)
Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists
by: Chen, Alyssia, et al.
Published: (2025)
by: Chen, Alyssia, et al.
Published: (2025)
Identifier Name Similarities: An Exploratory Study
by: Wong, Carol, et al.
Published: (2025)
by: Wong, Carol, et al.
Published: (2025)
Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study
by: Chen, Alyssia, et al.
Published: (2024)
by: Chen, Alyssia, et al.
Published: (2024)
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
Practitioner Views on Mobile App Accessibility: Practices and Challenges
by: Indika, Amila, et al.
Published: (2026)
by: Indika, Amila, et al.
Published: (2026)
The Impact of Generative AI-Powered Code Generation Tools on Software Engineer Hiring: Recruiters' Experiences, Perceptions, and Strategies
by: Chen, Alyssia, et al.
Published: (2024)
by: Chen, Alyssia, et al.
Published: (2024)
Exploring Accessibility Trends and Challenges in Mobile App Development: A Study of Stack Overflow Questions
by: Indika, Amila, et al.
Published: (2024)
by: Indika, Amila, et al.
Published: (2024)
Insights from the Field: Exploring Students' Perspectives on Bad Unit Testing Practices
by: Peruma, Anthony, et al.
Published: (2024)
by: Peruma, Anthony, et al.
Published: (2024)
A Developer-Centric Study Exploring Mobile Application Security Practices and Challenges
by: Peruma, Anthony, et al.
Published: (2024)
by: Peruma, Anthony, et al.
Published: (2024)
Reproducing, Extending, and Analyzing Naming Experiments
by: Alpern, Rachel, et al.
Published: (2024)
by: Alpern, Rachel, et al.
Published: (2024)
Understanding npm Developers' Practices, Challenges, and Recommendations for Secure Package Development
by: Peruma, Anthony, et al.
Published: (2026)
by: Peruma, Anthony, et al.
Published: (2026)
On the Rationale and Use of Assertion Messages in Test Code: Insights from Software Practitioners
by: Peruma, Anthony, et al.
Published: (2024)
by: Peruma, Anthony, et al.
Published: (2024)
On the Structure and Semantics of Identifier Names Containing Closed Syntactic Category Words
by: Newman, Christian D., et al.
Published: (2025)
by: Newman, Christian D., et al.
Published: (2025)
Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)
by: Jaoua, Imen, et al.
Published: (2025)
Analyzing the Performance of Large Language Models on Code Summarization
by: Haldar, Rajarshi, et al.
Published: (2024)
by: Haldar, Rajarshi, et al.
Published: (2024)
Exploring Multi-Lingual Bias of Large Code Models in Code Generation
by: Wang, Chaozheng, et al.
Published: (2024)
by: Wang, Chaozheng, et al.
Published: (2024)
Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
by: Dhruv, Akash, et al.
Published: (2024)
by: Dhruv, Akash, et al.
Published: (2024)
Exploring Sustainability in Scientific Software through Code Quality & Test Coverage Metrics
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2026)
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2026)
Greening Large Language Models of Code
by: Shi, Jieke, et al.
Published: (2023)
by: Shi, Jieke, et al.
Published: (2023)
Hotfixing Large Language Models for Code
by: Yang, Zhou, et al.
Published: (2024)
by: Yang, Zhou, et al.
Published: (2024)
Ecosystem of Large Language Models for Code
by: Yang, Zhou, et al.
Published: (2024)
by: Yang, Zhou, et al.
Published: (2024)
Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition
by: Neumüller, Denis, et al.
Published: (2026)
by: Neumüller, Denis, et al.
Published: (2026)
Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction
by: Er, Mehmet Bilal, et al.
Published: (2025)
by: Er, Mehmet Bilal, et al.
Published: (2025)
Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases
by: Zheng, Yusheng, et al.
Published: (2024)
by: Zheng, Yusheng, et al.
Published: (2024)
Mobile App Security Trends and Topics: An Examination of Questions From Stack Overflow
by: Huo, Timothy, et al.
Published: (2024)
by: Huo, Timothy, et al.
Published: (2024)
Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software
by: Nguyen, Tien, et al.
Published: (2026)
by: Nguyen, Tien, et al.
Published: (2026)
Large Language Model Unlearning for Source Code
by: Jiang, Xue, et al.
Published: (2025)
by: Jiang, Xue, et al.
Published: (2025)
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
Leveraging Print Debugging to Improve Code Generation in Large Language Models
by: Hu, Xueyu, et al.
Published: (2024)
by: Hu, Xueyu, et al.
Published: (2024)
From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
by: Alam, Khairul, et al.
Published: (2025)
by: Alam, Khairul, et al.
Published: (2025)
Mutation Testing via Iterative Large Language Model-Driven Scientific Debugging
by: Straubinger, Philipp, et al.
Published: (2025)
by: Straubinger, Philipp, et al.
Published: (2025)
Automated Harmfulness Testing for Code Large Language Models
by: Tan, Honghao, et al.
Published: (2025)
by: Tan, Honghao, et al.
Published: (2025)
Assertion Messages with Large Language Models (LLMs) for Code
by: Aljohani, Ahmed, et al.
Published: (2025)
by: Aljohani, Ahmed, et al.
Published: (2025)
Large Language Models for Code Generation: The Practitioners Perspective
by: Rasheed, Zeeshan, et al.
Published: (2025)
by: Rasheed, Zeeshan, et al.
Published: (2025)
Aligning Requirement for Large Language Model's Code Generation
by: Tian, Zhao, et al.
Published: (2025)
by: Tian, Zhao, et al.
Published: (2025)
Harnessing Large Language Models for Curated Code Reviews
by: Sghaier, Oussama Ben, et al.
Published: (2025)
by: Sghaier, Oussama Ben, et al.
Published: (2025)
Can Large Language Models Generate Geospatial Code?
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Optimizing Large Language Model Hyperparameters for Code Generation
by: Arora, Chetan, et al.
Published: (2024)
by: Arora, Chetan, et al.
Published: (2024)
Similar Items
-
Method Names in Jupyter Notebooks: An Exploratory Study
by: Wong, Carol, et al.
Published: (2025) -
Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists
by: Chen, Alyssia, et al.
Published: (2025) -
Identifier Name Similarities: An Exploratory Study
by: Wong, Carol, et al.
Published: (2025) -
Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study
by: Chen, Alyssia, et al.
Published: (2024) -
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)