Fuzz Testing of Closed-Source Software Using Large Language Models
摘要
Abstract
The architecture of large language models (LLMs) and the possibility of their application to automate fuzz testing software are studied. As a result of the study, a method is developed that enables fuzz testing applications with a graphical interface in the Windows operating system. A software prototype implementing the proposed method is developed and tested.