Výsledky vyhledávání - AI-Generated Code

Comparing Human and AI-Generated Code in Software Development

Autoři: Farid, Mohkam Santos, Vítor Manuel Pereira Duarte dos RUN

Přispěvatelé: Farid, Mohkam Santos, Vítor Manuel Pereira Duarte dos RUN

Témata: Software Development, Generative AI Code generation, Human Computer Interface, JavaScript, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/191051

Security Analysis of Automated Code Generation: Structural Vulnerabilities in AI-Generated

Autoři: Yoo, Sang Hyun Kim, Hyun Jung

Zdroj: Tehnički glasnik. 19:560-574

Témata: LLM security, OWASP Top 10, software security, memory vulnerabilities, AI-generated code, static-dynamic analysis, binary analysis, encryption vulnerabilities

Popis souboru: application/pdf

Přístupová URL adresa: https://hrcak.srce.hr/335259
https://doi.org/10.31803/tg-20250225095135

LevDetectCode: Zero-Shot Detection of AI-Generated Code using Levenshtein Distance

Autoři: Jiazhou Fu Guohua Shen Zhiqiu Huang a další

Zdroj: International Journal of Software Engineering and Knowledge Engineering. :1-24

Enhancing AI-Generated Code Accuracy: Leveraging Model-Based Reverse Engineering for Prompt Context Enrichment

Autoři: Niang, Boubou Thiam Alili, Ilyes Verhaeghe, Benoit a další

Přispěvatelé: Niang, Boubou Thiam Alili, Ilyes Verhaeghe, Benoit a další

Zdroj: Proceedings of the 20th International Conference on Software Technologies. :346-354

Témata: Prompt Engineering, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Large Language Models, Context Enrichment, Model-Based Reverse Engineering, [INFO] Computer Science [cs], Code Generation

Přístupová URL adresa: https://hal.science/hal-05136135v1
https://doi.org/10.5220/0013570300003964

AutoDFBench: A Framework for AI Generated Digital Forensic Code and Tool Testing and Evaluation

Autoři: Akila Wickramasekara Alanna Densmore Frank Breitinger a další

Zdroj: Proceedings of the Digital Forensics Doctoral Symposium. :1-7

Témata: ddc:004

Popis souboru: application/pdf

AI-Generated code for cloud devOps: Automating infrastructure as code

Autoři: Talati, Dhruvitkumar V

Zdroj: International Journal of Science and Research Archive. 14:339-345

Témata: DevOps, Automation, AI, Infrastructure as Code, Cloud Computing, DevSecOps

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We?

Autoři: Hyunjae Suh Mahan Tafreshipour Jiawei Li a další

Zdroj: 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). :859-871

Témata: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Přístupová URL adresa: http://arxiv.org/abs/2411.04299

Using pseudo-AI submissions for detecting AI-generated code

Autoři: Shariq Bashir

Zdroj: Frontiers in Computer Science, Vol 7 (2025)

Témata: programming code plagiarism detection, programming code similarity, generative AI tools, Electronic computers. Computer science, detecting AI-generated code, QA75.5-76.95, large language models (LLMs)

Přístupová URL adresa: https://doaj.org/article/5eca89389855411a842764250235718c

AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

Autoři: Demirok, Basak Kutlu, Mucahid

Zdroj: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4

Témata: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

Přístupová URL adresa: http://arxiv.org/abs/2412.16594

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education

Autoři: Wei Hung Pan Ming Jie Chok Jonathan Leong Shan Wong a další

Zdroj: Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training. :1-11

Témata: Computer Science - Software Engineering, Artificial Intelligence and Robotics, Computer Science - Artificial Intelligence, Software Engineering Education, Software Engineering, AI-Generated Code Detection, AI-Generated Code

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2401.03676

Assessing the effectiveness of AI generated code in Improving Software Engineering Processes using GPT-Engineer with OpenAI GPT models

Autoři: Timothy Y. Wikedzi Mwanga Gladness

Zdroj: 2025 IEEE/ACM Symposium on Software Engineering in the Global South (SEiGS). :27-34

DIFFERENCE BETWEEN HUMAN AND AI-GENERATED CODE

Autoři: K.E. Niyazmetova

Témata: human-written code, AI-generated, codeCode detection, Machine learning, Feature extraction, Code classification, Programming languages, Code quality, Software development

Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning

Autoři: Majeed Kazemitabaar Oliver Huang Sangho Suh a další

Zdroj: Proceedings of the 30th International Conference on Intelligent User Interfaces. :695-714

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Human-Computer Interaction (cs.HC)

Přístupová URL adresa: http://arxiv.org/abs/2410.08922

The Escalating Security Challenge of AI-Generated Code

Autoři: Kurosawa, Wesley

Témata: Code Security, Automation, Artificial Intelligence, Vulnerabilities, Software Development, DevSecOps

CDUP: Detecting AI Generated Code Using Abstract Syntax Tree Analyst.

Autoři: Păuleț, Ștefan Moruz, Alex

Zdroj: Procedia Computer Science. 2025, Vol. 270, p2088-2095. 8p.

Témata: Plagiarism prevention, C (Computer program language), Data analytics, Hypothesis, Code generators, Data structures

AI-Generated Code Detection: An Examination of Current Tools in Education

Autoři: Juan Esteban Cuellar Argotty Ruben Manrique

Zdroj: Lecture Notes in Computer Science ISBN: 9783031982804

A Comparative Analysis between AI Generated Code and Human Written Code: A Preliminary Study

Autoři: Abhi Patel Kazi Zakia Sultana Bharath K. Samanthula

Zdroj: 2024 IEEE International Conference on Big Data (BigData). :7521-7529

Investigates the Impact of AI-generated Code Tools on Software Readability Code Quality Factor

Autoři: Hamed Fawareh Hazim M. Al-Shdaifat Al-Refai M a další

Zdroj: 2024 25th International Arab Conference on Information Technology (ACIT). :1-5

Security Evaluation of AI-Generated Code: A Comparative Study of ChatGPT, Copilot, And Gemini through Static and Dynamic Analysis

Autoři: Onur Ceran

Zdroj: Gazi Journal of Engineering Sciences. 11

Can generative AI create accessible web code? A benchmark analysis of AI-generated HTML against accessibility standards

Autoři: Iyad Abu Doush Reem Kassem

Zdroj: Universal Access in the Information Society.