Search Results - "AI-generated code"

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education by Pan, Wei Hung, Chok, Ming Jie, Wong, Jonathan Leong Shan, Shin, Yung Xin, Poon, Yeong Shian, Yang, Zhou, Chong, Chun Yong, Lo, David, Lim, Mei Kuan

“…Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the…”
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CDUP: Detecting AI Generated Code Using Abstract Syntax Tree Analyst by Păuleț, Ștefan, Moruz, Alex

“…Recent generative AI development, especially code generation assistants, prompts the dilemma of how to identify plagiarised code among students’ submissions…”
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Cyber Security Threats of Using Generative Artificial Intelligence in Source Code Management by Nethala, Sainag, Kampa, Sandeep, Kosna, Srinivas Reddy

“…Generative Artificial Intelligence (Generative AI) models are now broadly used for academic writing and software development for the sake of productivity and…”
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Using pseudo-AI submissions for detecting AI-generated code by Bashir, Shariq

“…IntroductionGenerative AI tools can produce programming code that looks very similar to human-written code, which creates challenges in programming education…”
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Security Analysis of Automated Code Generation: Structural Vulnerabilities in AI-Generated Code by Yoo, Sang Hyun, Kim, Hyun Jung

“…AI-driven code generation enhances operational efficiency; however, it also introduces security vulnerabilities due to insufficient human oversight during…”
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Large Language Models for C Test Case Generation: A Comparative Analysis by Guzu, Alexandru, Nicolae, Georgian, Cucu, Horia, Burileanu, Corneliu

“…Software testing is a crucial yet time-consuming aspect of software development. Writing comprehensive unit tests that accurately verify whether a function or…”
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Beyond Question Shuffling: Randomization Techniques in Programming Assessment by Hickman, Henry, McKeown, Paul, Bell, Tim

“…Randomization is a technique that can be used with programming assessments to discourage academic misconduct by making it unlikely for two colluding students…”
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An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We? by Suh, Hyunjae, Tafreshipour, Mahan, Li, Jiawei, Bhattiprolu, Adithya, Ahmed, Iftekhar

“…Artificial Intelligence (AI) techniques, especially Large Language Models (LLMs), have started gaining popularity among researchers and software developers for…”
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AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection by Demirok, Basak, Kutlu, Mucahid

“…While large language models provide significant convenience for software development, they can lead to ethical issues in job interviews and student…”
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Detecting Adversarial Prompted AI-Generated Code on Stack Overflow: A Benchmark Dataset and an Enhanced Detection Approach by Swaraj, Aman, Agarwal, Krishna, Joshi, Atharv, Kumar, Sandeep

“…AI-generated code has become an integral part of the mainstream developer workflow today. However, in community-driven platforms like Stack Overflow (SO),…”
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Securing AI Code Generation Through Automated Pattern-Based Patching by Altiero, Francesco, Cotroneo, Domenico, De Luca, Roberta, Liguori, Pietro

“…In an era where AI code generators are reshaping software development, the risk of introducing vulnerabilities is a growing concern. With the increasing…”
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Security Degradation in Iterative AI Code Generation: A Systematic Analysis of the Paradox by Shukla, Shivani, Joshi, Himanshu, Syed, Romilla

“…The rapid adoption of Large Language Models (LLMs) for code generation has transformed software development, yet little attention has been given to how…”
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Reassessing Java Code Readability Models with a Human-Centered Approach by Sergeyuk, Agnia, Lvova, Olga, Titov, Sergey, Serova, Anastasiia, Bagirov, Farid, Kirillova, Evgeniia, Bryksin, Timofey

“…To ensure that Large Language Models (LLMs) effectively support user productivity, they need to be adjusted. Existing Code Readability (CR) models can guide…”
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Navigating (in)Security of AI-Generated Code by Ambati, Sri Haritha, Ridley, Norah, Branca, Enrico, Stakhanova, Natalia

“…The increasing use of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard in the software development industry raise questions about the…”
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Multi-agent system control based on first-order consensus algorithm by Akram, Adjal, Abdennour, Sebbagh

“…The goal of this study is to investigate the control of multi-agent systems (MAS) using consensus algorithms, which have gained important attention due to…”
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Security Vulnerabilities in AI-Generated JavaScript: A Comparative Study of Large Language Models by Aydin, Deniz, Bahtiyar, Serif

“…Large Language Models (LLMs) have been widely used in software development, yet the security of AI-generated code remains a critical concern. This research…”
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Exploiting LLMs for E-Learning: A Cybersecurity Perspective on AI-Generated Tools in Education by Greco, Danilo, Chianese, Luca

“…AI and LLM technologies have emerged rapidly, creating more opportunities to develop and enhance e-learning. This paper provides a detailed account of the…”
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Quality of AI-Generated vs. Human-Generated Code by Eltabakh, Tasneem Muhammed, Nabil Soudi, Nada, Shawky, Doaa

“…This study examines the quality differences between AI-generated and human-generated code through an evaluation of multiple software quality metrics, including…”
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