Synthetic Users employs innovative natural language processing techniques to enable code-free automated testing, which works on a number of key principles:
- natural language parsing (NLP)::
Users only need to describe the test objectives in plain language, for example, "test the checkout process of an e-commerce website", and the system will automatically parse the user's intention through a large language model.
- Intelligent Test Generation::
The platform automatically generates a complete test plan, including:
- Specific sequence of steps (e.g., clicking buttons, filling out forms)
- Key assertion points (e.g., page loads, element visibility checks)
- Validation of expected results
- Adaptive implementation::
The system will during the test:
- Automatic recognition of interface elements without relying on fixed selectors
- Automatically adjust test paths when UI changes
- Report failures only when the business process is actually interrupted
The advantage of this approach is:
- Lowering the testing threshold to allow non-technical people to participate
- Test cases closer to actual user behavior
- Significantly reduce test script maintenance costs
This answer comes from the articleSynthetic Users: an AI testing tool that simulates real user behaviorThe
May not be reproduced without permission:AI productivity tools " How does Synthetic Users automate tests without writing test scripts?
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