Gen AI Test Case Generation
Modern software testing demands efficiency, coverage, and precision. Nogrunt leverages Generative AI to transform application walkthroughs into optimized, granular test cases ready for automation, reducing manual effort while ensuring high-quality coverage.
Input Methods
Testers can provide the application walkthrough in several ways:
- Video + Audio Recording
- Testers perform the application flow while recording a video and narrating the steps, logic, and conditions in play.
- The more detail the tester provides—explicit logic, expected outcomes, and variations—the richer the test case generation.
- Video recordings allow testers to communicate complexities naturally, avoiding the overhead of creating detailed documentation manually.
- Screenshots + Documentation
- Testers can alternatively submit screenshots with explanations for each step.
- While viable, this approach is often more time-consuming and less intuitive compared to speaking through the workflow.
- Figma Designs
- Testers can provide UI/UX designs, which Nogrunt can parse to understand expected user flows and interactions.
Workflow
- Contextual Mapping
- Nogrunt analyzes the video/audio, screenshots, or Figma designs to create a contextual map of the application scenario.
- This map captures key screens, user interactions, logic flows, and decision points.
- Requirements Input
- Test requirements or objectives are provided to Nogrunt, defining the scope for the desired test cases.
- Test Case Generation
- The system merges the contextual map and the requirements to generate a set of granular, detailed, and optimized test cases.
- Test cases are optimized for automation, ensuring they can be directly scripted by testers manually, the Nogrunt Scripting Bot, or AI-assisted automation scripts.
Benefits
Nogrunt’s Gen AI Test Case Generation significantly reduces the time and effort required for manual test case creation by allowing testers to simply record walkthroughs instead of drafting extensive documentation. The generated test cases are automation-ready, enabling direct scripting by testers, the Nogrunt Scripting Bot, or AI-assisted scripts, which accelerates CI/CD cycles. By leveraging AI to understand the full context of the application, including logic branches, decision points, and workflows, the system ensures comprehensive coverage and granularity. The approach is highly flexible, supporting input via video/audio, screenshots with documentation, or Figma designs, accommodating tester preferences and workflow. Moreover, the AI-generated test set is optimized, avoiding redundancy while maximizing functional coverage, and its contextual accuracy ensures precise mapping of screens, actions, and business logic. Overall, this method streamlines testing, improves accuracy, and frees teams to focus on value-driven testing rather than manual test case writing.
Summary
Nogrunt’s Gen AI Test Case Generation bridges the gap between human intuition and automated testing. By allowing testers to record walkthroughs or provide designs, Nogrunt captures the full context and logic of an application. It then produces detailed, granular, automation-ready test cases optimized for efficiency, coverage, and maintainability. This approach not only reduces testing effort but also ensures higher accuracy and faster release cycles, empowering teams to focus on value-driven testing instead of manual test case creation.
