LLMs in Web-Development: Evaluating LLM-Generated PHP code unveiling vulnerabilities and limitations
R Tóth, T Bisztray, L Erdodi - arXiv preprint arXiv:2404.14459, 2024 - arxiv.org
This research carries out a comprehensive examination of web application code security,
when generated by Large Language Models through analyzing a dataset comprising 2,500 …
when generated by Large Language Models through analyzing a dataset comprising 2,500 …
The Role of Generative AI in Software Development Productivity: A Pilot Case Study
M Coutinho, L Marques, A Santos, M Dahia… - arXiv preprint arXiv …, 2024 - arxiv.org
With software development increasingly reliant on innovative technologies, there is a
growing interest in exploring the potential of generative AI tools to streamline processes and …
growing interest in exploring the potential of generative AI tools to streamline processes and …
[PDF][PDF] Predicting Test Results without Execution
A Hora - 2024 - andrehora.github.io
As software systems grow, test suites may become complex, making it challenging to run the
tests frequently and locally. Recently, Large Language Models (LLMs) have been adopted …
tests frequently and locally. Recently, Large Language Models (LLMs) have been adopted …