This tutorial offers a unique opportunity for participants to learn how to build a fully functional platform powered by AI-driven tools, designed to streamline software testing and quality assurance processes. Attendees will gain hands-on experience in creating a framework that integrates tools such as a Test Case Generator, Automated Test Case Executor, and Quality Strategy Generator. By the end of the session, participants will have a deployable application that they can share with their teams or organizations, showcasing the power of AI-driven automation.
Why This Tutorial?
This tutorial is designed to bridge the gap between AI technologies and practical software development. It provides participants with the skills to create a customizable platform that can be immediately applied in real-world scenarios, such as improving testing workflows or enhancing quality assurance strategies. The hands-on approach ensures that attendees leave with both the knowledge and a tangible product they can use and share.
During this tutorial, participants will / Key takeaways:
- Build a Full-Stack Platform: Using React for the frontend and Express.js for the backend, attendees will create a robust platform that leverages AI to automate testing and quality strategy generation.
- Integrate AI-Powered Tools: Participants will learn how to integrate cutting-edge AI models (e.g., OpenAI, Hugging Face, or similar) to develop intelligent tools for test case generation, execution, and quality strategy recommendations.
- Deploy and Share the Application: The tutorial will guide participants through deploying their application to a cloud platform (e.g., AWS, Heroku, or Vercel), enabling them to share their work with collaborators and stakeholders.
- Apply Skills in Real-World Scenarios: Attendees will gain practical experience that can be directly applied in their organizations to improve efficiency and software quality.
This tutorial is ideal for:
- Software developers and engineers interested in AI-powered automation.
- QA engineers and testers looking to enhance their testing workflows.
- Tech leads and managers aiming to implement AI-driven tools in their teams.
- Anyone curious about building and deploying full-stack applications with AI.
Prerequisites- Basic knowledge of JavaScript, React, and Node.js.
- Familiarity with REST APIs and cloud deployment concepts.
- A laptop with Node.js, npm/yarn, and a code editor (e.g., VS Code) installed.
- An eagerness to learn and experiment with AI.
Tutorial Outline- Introduction to AI in Software Testing
- Overview of AI-powered tools for testing and quality assurance.
- Use cases and benefits of integrating AI into workflows.
- Setting Up the Development Environment
- Initializing a React frontend and Express backend.
- Connecting the frontend and backend.
- Building the Test Case Generator
- Integrating an AI model to create test cases based on user input.
- Designing the UI for test case generation.
- Creating the Automated Test Case Executor
- Implementing logic to execute generated test cases.
- Displaying execution results in the UI.
- Developing the Quality Strategy Generator
- Using AI to analyze test results and generate quality improvement strategies.
- Visualizing strategies in the application.
- Deploying the Application
- Preparing the application for deployment.
- Deploying to a cloud platform and sharing it with others.
- Q&A and Next Steps
- Addressing participant questions.
- Discussing advanced topics and future enhancements.
