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

Описание и применение

WHartTest автоматически генерирует тесты из требований и самовосстанавливает ошибки, снижая ручную работу QA.

Задача

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

Результат

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.

Рабочий процесс

• 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

Доказательства

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.

Источник

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.

Источник

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

Источник