My Testing Thoughts

  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 p...

  Introduction Prerequisite s  Preparing the YAML Setting up the pipeline Conclusion Introduction : In this article, we will be seeing how we can build a CI/CD pipeline in Azure DevOps to execute selenium test cases with C# language binding and execute tests in Browser Stack. But before we go there let us check what is CI/CD. Continuous integration (CI) is a process in which several team members merge their code repeatedly into a shared trunk. Before every integration, the changes are validated through automated testing. In this manner, we can find issues as quickly as possible and prevent defects from entering our live environments.  Continuous delivery (CD) is the extension of continuous integration that automates deployments by making sure changes that have successfully passed the automated designated tests are made to the next environment automatically as soon as they are ready.  Continuous Integration/Continuous Delivery is a set of best practices...