:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sarker, Swapnil Sharma, Ifty, Tanzina Taher
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2509.14273
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Keeping Code-Aware LLMs Fresh: Full Refresh, In-Context Deltas, and Incremental Fine-Tuning
by: Sharma, Pradeep Kumar, et al.
Published: (2025)

A Vision for Context-Aware CI Adoption Decisions
by: Alaini, Osamah H., et al.
Published: (2026)

Fingerprinting AI Coding Agents on GitHub
by: Ghaleb, Taher A.
Published: (2026)

Leveraging Design-Aware Context in Large Language Models for Code Comment Generation
by: Mitra, Aritra, et al.
Published: (2025)

Repository-Aware File Path Retrieval via Fine-Tuned LLMs
by: Yanuganti, Vasudha, et al.
Published: (2025)

Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
by: Solovyeva, Lola, et al.
Published: (2025)

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

CIgrate: Automating CI Service Migration with Large Language Models
by: Hossain, Md Nazmul, et al.
Published: (2025)

Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes
by: Dearing, Matthew T., et al.
Published: (2025)

Wired for Reuse: Automating Context-Aware Code Adaptation in IDEs via LLM-Based Agent
by: Wang, Taiming, et al.
Published: (2025)

RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
by: Pan, Zhongqiang, et al.
Published: (2026)

Can LLMs Write CI? A Study on Automatic Generation of GitHub Actions Configurations
by: Ghaleb, Taher A., et al.
Published: (2025)

Code Change Characteristics and Description Alignment: A Comparative Study of Agentic versus Human Pull Requests
by: Pham, Dung, et al.
Published: (2026)

Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
by: Diggs, Colin, et al.
Published: (2024)

MUCOCO: Automated Consistency Testing of Code LLMs
by: Chou, Chua Jin, et al.
Published: (2026)

Context-Aware CodeLLM Eviction for AI-assisted Coding
by: Thangarajah, Kishanthan, et al.
Published: (2025)

Context Matters: Evaluating Context Strategies for Automated ADR Generation Using LLMs
by: Gupta, Aviral, et al.
Published: (2026)

AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM
by: Bappon, Suborno Deb, et al.
Published: (2024)

Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
by: Dilhara, Malinda, et al.
Published: (2024)

Evaluating LLMs Code Reasoning Under Real-World Context
by: Liu, Changshu
Published: (2026)

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

Integrating Code Metrics into Automated Documentation Generation for Computational Notebooks
by: Ghahfarokhi, Mojtaba Mostafavi, et al.
Published: (2026)

StepGrade: Grading Programming Assignments with Context-Aware LLMs
by: Akyash, Mohammad, et al.
Published: (2025)

CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
by: Le, Huy, et al.
Published: (2025)

Evolving Triple Knowledge-Augmented LLMs for Code Translation in Repository Context
by: Ou, Guangsheng, et al.
Published: (2025)

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation
by: Sarker, Laboni, et al.
Published: (2024)

When AI Agents Touch CI/CD Configurations: Frequency and Success
by: Ghaleb, Taher A.
Published: (2026)

Towards Leveraging LLMs to Generate Abstract Penetration Test Cases from Software Architecture
by: Jafari, Mahdi, et al.
Published: (2026)

Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
by: Midolo, Alessandro, et al.
Published: (2025)

Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
by: Kim, Youngkyoung, et al.
Published: (2025)

Extracting Formal Specifications from Documents Using LLMs for Automated Testing
by: Li, Hui, et al.
Published: (2025)

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs
by: Thangarajah, Kishanthan, et al.
Published: (2026)

WIP: Leveraging LLMs for Enforcing Design Principles in Student Code: Analysis of Prompting Strategies and RAG
by: Kolhatkar, Dhruv, et al.
Published: (2025)

Automated Identification of Sexual Orientation and Gender Identity Discriminatory Texts from Issue Comments
by: Sultana, Sayma, et al.
Published: (2023)

Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring
by: Bellur, Abhiram, et al.
Published: (2025)

Automating the Correctness Assessment of AI-generated Code for Security Contexts
by: Cotroneo, Domenico, et al.
Published: (2023)

Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
by: Wang, Shuai, et al.
Published: (2025)

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
by: Haque, Mirazul, et al.
Published: (2025)

Real-Time Toxicity Filtering for Open-Source Code Reviews
by: Anindya, Md Awsaf Alam, et al.
Published: (2026)

CREME: Robustness Enhancement of Code LLMs via Layer-Aware Model Editing
by: Liu, Shuhan, et al.
Published: (2025)