Cover Image

Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Aysa Xuemo, Narayanan, Arun Balajiee Lekshmi, Hassany, Mohammad, Ke, Jiaze
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explaining Code Examples in Introductory Programming Courses: LLM vs Humans
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2023)

Human-AI Co-Creation of Worked Examples for Programming Classes
by: Hassany, Mohammad, et al.
Published: (2024)

Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2026)

Accodemy: AI Powered Code Learning Platform to Assist Novice Programmers in Overcoming the Fear of Coding
by: Aamina, M. A. F., et al.
Published: (2025)

Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
by: Kou, Bonan, et al.
Published: (2023)

Learning Programming in Informal Spaces: Using Emotion as a Lens to Understand Novice Struggles on r/learnprogramming
by: Hasan, Alif Al, et al.
Published: (2025)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
by: Mozannar, Hussein, et al.
Published: (2024)

Gendered Prompting and LLM Code Review: How Gender Cues in the Prompt Shape Code Quality and Evaluation
by: Janzen, Lynn, et al.
Published: (2026)

Bridging the Socio-Emotional Gap: The Functional Dimension of Human-AI Collaboration for Software Engineering
by: Rani, Lekshmi Murali, et al.
Published: (2026)

Evolution of Programmers' Trust in Generative AI Programming Assistants
by: Shah, Anshul, et al.
Published: (2025)

Generating Complex Code Analyzers from Natural Language Questions
by: Nazari, Amirmohammad, et al.
Published: (2026)

System-driven Interactive Design Support for Cloud Architecture: A Qualitative User Experience Study with Novice Engineers
by: Kohita, Ryosuke, et al.
Published: (2025)

SPROUT: an Interactive Authoring Tool for Generating Programming Tutorials with the Visualization of Large Language Models
by: Liu, Yihan, et al.
Published: (2023)

UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
by: Wu, Jason, et al.
Published: (2024)

Enhancing Code LLM Training with Programmer Attention
by: Zhang, Yifan, et al.
Published: (2025)

"Always Nice and Confident, Sometimes Wrong": Developer's Experiences Engaging Large Language Models (LLMs) Versus Human-Powered Q&A Platforms for Coding Support
by: Li, Jiachen, et al.
Published: (2023)

Recommending Usability Improvements with Multimodal Large Language Models
by: Lubos, Sebastian, et al.
Published: (2026)

How Scientists Use Large Language Models to Program
by: O'Brien, Gabrielle
Published: (2025)

Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models
by: Koyama, Ryoya, et al.
Published: (2026)

AI for Requirements Engineering: Industry adoption and Practitioner perspectives
by: Rani, Lekshmi Murali, et al.
Published: (2025)

Large Language Models as Visualization Agents for Immersive Binary Reverse Engineering
by: Brown, Dennis, et al.
Published: (2025)

Usability Analysis of Configurator User Interfaces with Multimodal Large Language Models
by: Lubos, Sebastian, et al.
Published: (2026)

"I Would Have Written My Code Differently'': Beginners Struggle to Understand LLM-Generated Code
by: Zi, Yangtian, et al.
Published: (2025)

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
by: Pitts, Griffin, et al.
Published: (2025)

Investigating and Designing for Trust in AI-powered Code Generation Tools
by: Wang, Ruotong, et al.
Published: (2023)

Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions
by: Schön, David, et al.
Published: (2026)

In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
by: Sergeyuk, Agnia, et al.
Published: (2024)

Inferring Alt-text For UI Icons With Large Language Models During App Development
by: Haque, Sabrina, et al.
Published: (2024)

Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
by: Duan, Zhangqi, et al.
Published: (2025)

MLLM-Based UI2Code Automation Guided by UI Layout Information
by: Wu, Fan, et al.
Published: (2025)

Dynamic Code Orchestration: Harnessing the Power of Large Language Models for Adaptive Script Execution
by: Del Vecchio, Justin, et al.
Published: (2024)

Investigating Multimodal Large Language Models to Support Usability Evaluation
by: Lubos, Sebastian, et al.
Published: (2025)

GazeCopilot: Evaluating Novel Gaze-Informed Prompting for AI-Supported Code Comprehension and Readability
by: Elfares, Yasmine, et al.
Published: (2025)

NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation
by: Tang, Ningzhi, et al.
Published: (2025)

Reassessing Java Code Readability Models with a Human-Centered Approach
by: Sergeyuk, Agnia, et al.
Published: (2024)

CodeAlignBench: Assessing Code Generation Models on Developer-Preferred Code Adjustments
by: Mehralian, Forough, et al.
Published: (2025)

An Exploratory Study on Upper-Level Computing Students' Use of Large Language Models as Tools in a Semester-Long Project
by: Tanay, Ben Arie, et al.
Published: (2024)

Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools
by: Buono, Paolo, et al.
Published: (2025)

Exit the Code: A Model for Understanding Career Abandonment Intention Among Software Developers
by: Massoni, Tiago, et al.
Published: (2025)

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
by: Tang, Ningzhi, et al.
Published: (2024)