In this talk, we will explore the potential of using ChatGPT, a natural language processing (NLP) model, to aid in web application testing and continuous integration (CI). ChatGPT, developed by OpenAI, is a variant of the GPT (Generative Pre-trained Transformer) model designed explicitly for generating human-like text in chatbot applications.

Creating test cases is one potential use case for ChatGPT in the testing and CI process. By providing ChatGPT with information about the functionality of a web application, it is possible to generate a set of test cases that cover a wide range of scenarios and edge cases. This can save time and effort in testing, reducing the need for manual test case creation.

In addition to test case creation, ChatGPT can also be used to automate the execution of test cases. By providing the model with test case descriptions and expected results, it is possible to use ChatGPT to generate commands that can be used to interact with the web application and verify that it is functioning as expected. This can further streamline the testing process and make it easier to continuously integrate new changes into the application.

Overall, the use of ChatGPT in the testing and CI process has the potential to significantly improve the efficiency and effectiveness of these activities. In this talk, we will delve into the details of how ChatGPT can be used for these purposes and provide examples of its use in real-world applications.