Leveraging Large Language Models for Python Unit Test

Generative Artificial Intelligence is becoming an integral and enduring part of our lives, growing more powerful with each passing day. This paper explores Large Language Models and their application in text generation, specifically examining their potential to assist software quality assurance engineers in their daily tasks. Our focus is on the generation of unit tests as a critical component of software development. The research question is simple: Can Generative AI generate comprehensive unit tests? We started with Python and a very simple use case, and if Gen AI is successful, we will continue with complex tasks. Current literature focuses on success, but we are interested in failures as well. How many test cases are missing?