Image de couverture de livre

The Effect of Code Obfuscation on Human Program Comprehension

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nguyen, Anh H. N., Le, Jack, Coronado, Ilse Lahnstein, Nguyen, Tien N.
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals
par: Le-Anh, Minh, et autres
Publié: (2026)

Semantic Evolution over Populations for LLM-Guided Automated Program Repair
par: Le, Cuong Chi, et autres
Publié: (2026)

When Retriever Meets Generator: A Joint Model for Code Comment Generation
par: Le, Tien P. T., et autres
Publié: (2025)

CodeFlow: Program Behavior Prediction with Dynamic Dependencies Learning
par: Le, Cuong Chi, et autres
Publié: (2024)

Toward Generation of Test Cases from Task Descriptions via History-aware Planning
par: Cao, Duy, et autres
Publié: (2025)

RBCTest: Leveraging LLMs to Mine and Verify Oracles of API Response Bodies for RESTful API Testing
par: Huynh, Hieu, et autres
Publié: (2025)

Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity
par: De Tomasi, Lorenzo, et autres
Publié: (2025)

CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
par: Le, Huy, et autres
Publié: (2025)

CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases
par: Hoang, Anh Nguyen, et autres
Publié: (2025)

Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
par: Nguyen, Phong, et autres
Publié: (2025)

Segment-Based Test Case Prioritization: A Multi-objective Approach
par: Huynh, Hieu, et autres
Publié: (2024)

HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
par: Phan, Huy Nhat, et autres
Publié: (2024)

KAT: Dependency-aware Automated API Testing with Large Language Models
par: Le, Tri, et autres
Publié: (2024)

Towards Test Generation from Task Description for Mobile Testing with Multi-modal Reasoning
par: Huynh, Hieu, et autres
Publié: (2025)

RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
par: Phan, Huy N., et autres
Publié: (2024)

When Names Disappear: Revealing What LLMs Actually Understand About Code
par: Le, Cuong Chi, et autres
Publié: (2025)

Rectifier: Code Translation with Corrector via LLMs
par: Yin, Xin, et autres
Publié: (2024)

VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
par: Le, Cuong Chi, et autres
Publié: (2024)

Detection of Technical Debt in Java Source Code
par: Hai, Nam Le, et autres
Publié: (2024)

Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond
par: Le-Anh, Minh, et autres
Publié: (2026)

Data-Driven Evidence-Based Syntactic Sugar Design
par: OBrien, David, et autres
Publié: (2024)

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
par: Le, Dat, et autres
Publié: (2026)

LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
par: Wang, Yan, et autres
Publié: (2025)

Documentation-Guided Agentic Codebase Migration from C to Rust
par: Le-Anh, Minh, et autres
Publié: (2026)

Cerberus: Multi-Agent Reasoning and Coverage-Guided Exploration for Static Detection of Runtime Errors
par: Dhulipala, Hridya, et autres
Publié: (2025)

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
par: Le, Duc Anh, et autres
Publié: (2024)

Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models
par: Wang, Yan, et autres
Publié: (2024)

EnseSmells: Deep ensemble and programming language models for automated code smells detection
par: Ho, Anh, et autres
Publié: (2025)

Qualitative Coding Analysis through Open-Source Large Language Models: A User Study and Design Recommendations
par: Ngo, Tung T., et autres
Publié: (2026)

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
par: Manh, Dung Nguyen, et autres
Publié: (2024)

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software
par: Nguyen, Tien, et autres
Publié: (2026)

Are the Majority of Public Computational Notebooks Pathologically Non-Executable?
par: Nguyen, Tien, et autres
Publié: (2025)

Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing
par: Dhulipala, Hridya, et autres
Publié: (2025)

Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
par: Nguyen, Anh The, et autres
Publié: (2024)

Resource-Efficient & Effective Code Summarization
par: Afrin, Saima, et autres
Publié: (2025)

An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling
par: Nguyen-Duc, Anh, et autres
Publié: (2025)

SpareCodeSearch: Searching for Code Context When You Have No Spare GPU
par: Nguyen, Minh
Publié: (2025)

SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
par: Pham, Minh V. T., et autres
Publié: (2025)

Reinforcement Learning-Based REST API Testing with Multi-Coverage
par: Nguyen, Tien-Quang, et autres
Publié: (2024)

Adversarial Attacks on Code Models with Discriminative Graph Patterns
par: Nguyen, Thanh-Dat, et autres
Publié: (2023)