We Open-Sourced Our AI Testing Platform: From Requirement Docs to Executable Test Cases

说明与用途

WHartTest 能自动生成测试用例并自我修复错误，降低 QA 的手工工作量。

问题

Manual translation of requirement documents into test cases is time-consuming and brittle, leading to frequent failures when UI/API changes occur.

结果

WHartTest reduces manual effort in test case creation and maintenance, enabling AI-generated test cases and self-healing failure diagnosis, improving test reliability and reducing maintenance overhead.

工作流

• Upload requirement documents or API definitions into WHartTest
• AI generates complete test cases (preconditions, steps, expected results) or API request steps and assertions
• Review and manage cases in list or mindmap view
• Execute tests in script, pure-AI, or dual mode
• If a test fails, AI reads logs/responses and proposes fixes
• Apply suggested fixes and re-run tests
• Export test cases to PNG/JSON or integrate with CI/CD

证据

We got tired of it, so we built WHartTest and open-sourced it: an AI-driven test automation platform that turns requirement documents into executable test cases — and helps fix them when they fail.

来源

Functional test case generation. Upload requirement documents (with an online editor built in). AI generates complete cases — preconditions, steps, expected results — grounded in your project knowledge base.

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When a run fails, AI reads the logs and responses to locate the problem and proposes fixes.

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