Cover Image

Context-aware Code Summary Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Su, Chia-Yi, Bansal, Aakash, Huang, Yu, Li, Toby Jia-Jun, McMillan, Collin
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Programmer Visual Attention During Context-Aware Code Summarization
by: Wallace, Robert, et al.
Published: (2024)

Do Code LLMs Do Static Analysis?
by: Su, Chia-Yi, et al.
Published: (2025)

Distilled GPT for Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023)

Semantic Similarity Loss for Neural Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023)

AI-Mediated Code Comment Improvement
by: Dhakal, Maria, et al.
Published: (2025)

Which Code Statements Implement Privacy Behaviors in Android Applications?
by: Su, Chia-Yi, et al.
Published: (2025)

Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification
by: Tang, Ningzhi, 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)

CMind: An AI Agent for Localizing C Memory Bugs
by: Su, Chia-Yi, et al.
Published: (2026)

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
by: Zhang, Yifan, et al.
Published: (2024)

APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents
by: Eberhart, Zachary, et al.
Published: (2025)

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

Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention
by: Wallace, Robert, et al.
Published: (2026)

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
by: Zhang, Yifan, et al.
Published: (2025)

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
by: Li, Jiliang, et al.
Published: (2024)

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)

Instruction Adherence in Coding Agent Configuration Files: A Factorial Study of Four File-Structure Variables
by: McMillan, Damon
Published: (2026)

Human Attention During Localization of Memory Bugs in C Programs
by: Smith, Emory, et al.
Published: (2025)

How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions
by: Tang, Ningzhi, et al.
Published: (2026)

Semantic similarity loss for neural source code summarization
by: Chia‐Yi Su, et al.
Published: (2024)

Programming by Chat: A Large-Scale Behavioral Analysis of 11,579 Real-World AI-Assisted IDE Sessions
by: Tang, Ningzhi, et al.
Published: (2026)

A Vulnerability Code Intent Summary Dataset
by: Huang, Yifan, et al.
Published: (2025)

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
by: Sorathiya, Aakash, et al.
Published: (2025)

SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
by: Sorathiya, Aakash, et al.
Published: (2025)

RepoSummary: Feature-Oriented Summarization and Documentation Generation for Code Repositories
by: Zhu, Yifeng, et al.
Published: (2025)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
by: Zhang, Kechi, et al.
Published: (2024)

What Builds Effective In-Context Examples for Code Generation?
by: Li, Dongze, et al.
Published: (2025)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding
by: Li, Jia, et al.
Published: (2025)

Large Language Models for Code Generation: The Practitioners Perspective
by: Rasheed, Zeeshan, et al.
Published: (2025)

Compressing Code Context for LLM-based Issue Resolution
by: Jia, Haoxiang, et al.
Published: (2026)

RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation
by: Liu, Yang, et al.
Published: (2025)

COFFE: A Code Efficiency Benchmark for Code Generation
by: Peng, Yun, et al.
Published: (2025)

MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation
by: Li, Haiyang
Published: (2025)

RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
by: Li, Hanyu, et al.
Published: (2026)

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation
by: Acharya, Manish, et al.
Published: (2025)

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
by: Zhang, Kechi, et al.
Published: (2024)

Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
by: Bansal, Kaushal
Published: (2026)

Verifying LLM-Generated Code in the Context of Software Verification with Ada/SPARK
by: Cramer, Marcos, et al.
Published: (2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
by: Zhang, Kechi, et al.
Published: (2025)

Towards Extracting Ethical Concerns-related Software Requirements from App Reviews
by: Sorathiya, Aakash, et al.
Published: (2024)