ICSE 2025 papers related to LLMs

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ICSE 2025

icse2026.md

Here are the titles of papers related to LLMs from the provided text:

• SpecGen: Automated Generation of Formal Program Specifications via Large Language Models
• LWDIFF: An LLM-Assisted Differential Testing Framework for WebAssembly Runtimes
• Can an LLM find its way around a Spreadsheet?
• ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
• Automating a Complete Software Test Process Using LLMs: An Automotive Case Study
• LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems
• Calibration and Correctness of Language Models for Code
• An Empirical Study on Commit Message Generation using LLMs via In-Context Learning
• Instruct or Interact? Exploring and Eliciting LLMs’ Capability in Code Snippet Adaptation Through Prompt Engineering
• Search-Based LLMs for Code Optimization
• Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar
• RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code
• LLM-aided Automatic Modeling for Security Protocol Verification
• Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks
• Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets
• LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-based Code Completion
• Knowledge-Enhanced Program Repair for Data Science Code
• Model Editing for LLMs4Code: How Far are We?
• Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets
• SpecRover: Code Intent Extraction via LLMs
• Metamorphic-Based Many-Objective Distillation of LLMs for Code-related Tasks
• NIODebugger: A Novel Approach to Repair Non-Idempotent-Outcome Tests with LLM-Based Agent
• Test Intention Guided LLM-based Unit Test Generation
• Large Language Models for Safe Minimization
• Intention is All You Need: Refining Your Code from Your Intention
• InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation
• Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models
• Are LLMs Correctly Integrated into Software Systems?
• An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization
• Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
• HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation
• LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation
• A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs
• ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs
• LLM Based Input Space Partitioning Testing for Library APIs
• Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
• exLong: Generating Exceptional Behavior Tests with Large Language Models
• TOGLL: Correct and Strong Test Oracle Generation with LLMs
• Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
• SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents
• RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code
• Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
• LiCoEval: Evaluating LLMs on License Compliance in Code Generation
• Trust Dynamics in AI-Assisted Development: Definitions, Factors, and Implications
• What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI
• Large Language Models as Configuration Validators
• LLM Assistance for Memory Safety
• Vulnerability Detection with Code Language Models: How Far Are We?
• Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications
• Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses
• Code Comment Inconsistency Detection and Rectification Using a Large Language Model
• Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation
• Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
• Source Code Summarization in the Era of Large Language Models
• Template-Guided Program Repair in the Era of Large Language Models
• Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models
• Measuring the Runtime Performance of C++ Code Written by Humans using GitHub Copilot
• Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution
• RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
• Aligning the Objective of LLM-based Program Repair
• Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models
• The Fact Selection Problem in LLM-Based Program Repair
• Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models
• Leveraging Large Language Models to Detect npm Malicious Packages
• RUG: Turbo LLM for Rust Unit Test Generation
• ChatGPT-Based Test Generation for Refactoring Engines Enhanced by Feature Analysis on Examples
• ChatGPT Inaccuracy Mitigation during Technical Report Understanding: Are We There Yet?
• Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
• Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference