Cover Image

Evaluating Software Plagiarism Detection in the Age of AI: Automated Obfuscation and Lessons for Academic Integrity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sağlam, Timur, Schmid, Larissa
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Same Same But Different: Preventing Refactoring Attacks on Software Plagiarism Detection
by: Maisch, Robin, et al.
Published: (2025)

On Plagiarism and Software Plagiarism
by: Folea, Rares, et al.
Published: (2026)

A New Framework of Software Obfuscation Evaluation Criteria
by: De Sutter, Bjorn
Published: (2025)

Maven-Lockfile: High Integrity Rebuild of Past Java Releases
by: Schmid, Larissa, et al.
Published: (2025)

LLM Use, Cheating, and Academic Integrity in Software Engineering Education
by: Santos, Ronnie de Souza, et al.
Published: (2026)

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)

Automated Quantum Software and AI Engineering
by: Siavash, Nazanin, et al.
Published: (2026)

Can Code Evaluation Metrics Detect Code Plagiarism?
by: Ebrahim, Fahad, et al.
Published: (2026)

Towards Benchmarking Design Pattern Detection Under Obfuscation: Reproducing and Evaluating Attention-Based Detection Method
by: Shenoy, Manthan, et al.
Published: (2025)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)

CFIghter: Automated Control-Flow Integrity Enablement and Evaluation for Legacy C/C++ Systems
by: Houy, Sabine, et al.
Published: (2025)

Software Architecture Meets LLMs: A Systematic Literature Review
by: Schmid, Larissa, et al.
Published: (2025)

Evaluating LLM Agents on Automated Software Analysis Tasks
by: Bouzenia, Islem, et al.
Published: (2026)

Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity
by: De Tomasi, Lorenzo, et al.
Published: (2025)

How Do Software Engineering Students Use Generative AI in Real-World Capstone Projects? An Empirical Baseline Study
by: Mircea, Michael, et al.
Published: (2026)

Revisiting Software Engineering Education in the Era of Large Language Models: A Curriculum Adaptation and Academic Integrity Framework
by: Degerli, Mustafa
Published: (2026)

Software Supply Chain Smells: Lightweight Analysis for Secure Dependency Management
by: Schmid, Larissa, et al.
Published: (2026)

Reproducible Automated Program Repair Is Hard -- Experiences With the Defects4J Dataset
by: Krafczyk, Adam, et al.
Published: (2026)

Self-Healing Software Systems: Lessons from Nature, Powered by AI
by: Baqar, Mohammad, et al.
Published: (2025)

At What Cost? Software Developers' Well-Being in the Age of GenAI
by: Guizani, Mariam, et al.
Published: (2026)

A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development
by: Li, Jia, et al.
Published: (2025)

Lessons from a Pioneering Software Engineering Environment: Design Principles of Software through Pictures
by: I., Anthony, et al.
Published: (2024)

Hidden Populations in Software Engineering: Challenges, Lessons Learned, and Opportunities
by: Santos, Ronnie de Souza, et al.
Published: (2024)

Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation
by: Karim, Ahmed Akib Jawad, et al.
Published: (2024)

Automating Automotive Software Development: A Synergy of Generative AI and Model-Based Methods
by: Pan, Fengjunjie, et al.
Published: (2025)

The Effect of Code Obfuscation on Human Program Comprehension
by: Nguyen, Anh H. N., et al.
Published: (2026)

JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection
by: Li, Zhihao, et al.
Published: (2025)

The Failure of Plagiarism Detection in Competitive Programming
by: Dickey, Ethan
Published: (2025)

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering
by: Yu, Hang, et al.
Published: (2025)

What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development
by: Neumann, Michael, et al.
Published: (2024)

Is Your Automated Software Engineer Trustworthy?
by: Mathews, Noble Saji, et al.
Published: (2025)

Automated Description Generation for Software Patches
by: Vu, Thanh Trong, et al.
Published: (2024)

From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI
by: Storey, Margaret-Anne
Published: (2026)

Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
by: Salerno, Larissa, et al.
Published: (2024)

BASFuzz: Towards Robustness Evaluation of LLM-based NLP Software via Automated Fuzz Testing
by: Xiao, Mingxuan, et al.
Published: (2025)

AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation
by: Cai, Liyi, et al.
Published: (2025)

Bin2Vec: Interpretable and Auditable Multi-View Binary Analysis for Code Plagiarism Detection
by: Moussaoui, Moussa, et al.
Published: (2025)

Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
by: Gabbireddy, Divyesh, et al.
Published: (2026)

Automated Generation of Commit Messages in Software Repositories
by: Palakodeti, Varun Kumar, et al.
Published: (2025)

Studying and Automating Issue Resolution for Software Quality
by: Saha, Antu
Published: (2025)