Software testing can be revolutionized by using Artificial Intelligence (AI), which can significantly increase efficacy and efficiency. Our use case focuses on software application test case generation. The manual and labor-intensive procedure can be greatly reduced by using a Text Generation Model to automatically create test scenarios based on requirements or user stories. This article creates a Text Generation Model using OpenAI's text generation model, namely GPT-3.5-turbo. Steps to Build the Model and Web App: Pre-requisite: Ø Go through this: https://platform.openai.com/docs/quickstart?context=python Ø Install Python and other dependencies like streamlit, openAI, etc. on your machine using the PIP package installer if you are planning to run it on your local. Ø Create an Open API account, and generate API key using https://platform.openai.com/api-keys (Note* You receive free $5 when signing up using your mobile phone, which is sufficient for you to play w
A blog about my testing stories where I pen down my thoughts about test automation covering primarily Selenium, Java, Rest Assured, Karate, Maven, TestNG, Postman, newman, Jenkins, Git, Azure DevOps, etc.