:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Jiangshan, Liu, Shuang, Chen, Junjie
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2403.03433
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Control Models for In-IDE Code Completion
by: de Moor, Aral, et al.
Published: (2026)

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors
by: Liu, Yuhong, et al.
Published: (2026)

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

An IDE Plugin for Gamified Continuous Integration
by: Straubinger, Philipp, et al.
Published: (2024)

Optimizing an IDE for an Evolving Language Ecosystem
by: Welc, Adam, et al.
Published: (2026)

CodeWatcher: IDE Telemetry Data Extraction Tool for Understanding Coding Interactions with LLMs
by: Basha, Manaal, et al.
Published: (2025)

Proto-ML: An IDE for ML Solution Prototyping
by: Coban, Selin, et al.
Published: (2026)

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code
by: Kula, Raula Gaikovina, et al.
Published: (2025)

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)

Developing a Model-Driven Reengineering Approach for Migrating PL/SQL Triggers to Java: A Practical Experience
by: Fernandez-Candel, Carlos J., et al.
Published: (2025)

Investigating the Impact of Code Comment Inconsistency on Bug Introducing
by: Radmanesh, Shiva, et al.
Published: (2024)

Trigram-Based Persistent IDE Indices with Quick Startup
by: Iakovlev, Zakhar, et al.
Published: (2024)

IDE-Bench: Evaluating Large Language Models as IDE Agents on Real-World Software Engineering Tasks
by: Mateega, Spencer, et al.
Published: (2026)

MuSe: a Mutation Testing Plugin for the Remix IDE
by: Iuliano, Gerardo, et al.
Published: (2026)

InspectCoder: Dynamic Analysis-Enabled Self Repair through interactive LLM-Debugger Collaboration
by: Wang, Yunkun, et al.
Published: (2025)

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
by: Li, Yichen, et al.
Published: (2024)

CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
by: Zhang, Qingyu, et al.
Published: (2025)

An Empirical Analysis of Git Commit Logs for Potential Inconsistency in Code Clones
by: Yokomori, Reishi, et al.
Published: (2024)

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies
by: Dau, Anh T. V., et al.
Published: (2023)

Mitigating Implicit Inconsistencies in Patch Porting
by: Pan, Shengyi, et al.
Published: (2026)

Pre-AI Baseline: Developer IDE Satisfaction and Tool Autonomy in 2022
by: Balić, Nikola
Published: (2026)

Aligning Requirement for Large Language Model's Code Generation
by: Tian, Zhao, et al.
Published: (2025)

In-IDE Toolkit for Developers of AI-Based Features
by: Sokolov, Yaroslav, et al.
Published: (2026)

Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
by: Nguyen, Phong, et al.
Published: (2025)

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency
by: Zhong, Renyi, et al.
Published: (2025)

CircInspect: Integrating Visual Circuit Analysis, Abstraction, and Real-Time Development in Quantum Debugging
by: Khan, Mushahid, et al.
Published: (2025)

Gamified GUI testing with Selenium in the IntelliJ IDE: A Prototype Plugin
by: Garaccione, Giacomo, et al.
Published: (2024)

Achieving Productivity Gains with AI-based IDE features: A Journey at Google
by: Tabachnyk, Maxim, et al.
Published: (2026)

Dependency-Aware Code Naturalness
by: Yang, Chen, et al.
Published: (2024)

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)

JetTrain: IDE-Native Machine Learning Experiments
by: Trofimov, Artem, et al.
Published: (2024)

DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies
by: Xu, Xiaomeng, et al.
Published: (2025)

Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding
by: Pavlichenko, Nikita, et al.
Published: (2025)

Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
by: Gong, Jingzhi, et al.
Published: (2026)

PairSmell: A Novel Perspective Inspecting Software Modular Structure
by: Zhong, Chenxing, et al.
Published: (2024)

Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring
by: Pomian, Dorin, et al.
Published: (2024)

C2RustXW: Program-Structure-Aware C-to-Rust Translation via Program Analysis and LLM
by: Yan, Yanyan, et al.
Published: (2026)

Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)

Does In-IDE Calibration of Large Language Models work at Scale?
by: Koohestani, Roham, et al.
Published: (2025)

Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective
by: Koohestani, Roham, et al.
Published: (2025)