Intelligent Test Case Generation Methodology
Complete process for efficient test development with Qwen3-Coder:
- Generate basic test frameworks
importation"#generate pytest test cases for FastAPI endpoints with 100% coverage"Get template code - Boundary value analysis
fulfillmentqwen > Identify edge cases for this sorting functionAccess to critical test points - Data-Driven Testing
Use the Fill-in-the-Middle function to complement the parameterized test:<|fim_prefix|>@pytest.mark.parametrize('input,expected', [<|fim_suffix|>])<|fim_middle|> - Test Assertion Optimization
Assertions are automatically strengthened by the code repair feature:"Improve these assertions to verify both return value and side effects" - Continuous Integration Docking
Generating GitHub Actions/YAML Configurations with the Agent Tasks Feature
Advanced Tips:
- Load the project's existing test patterns in conjunction with the RAG
- Execute the generated use caseqwen > Assess the mutation coverage of these tests
- set uptemperature=0.3Keeping use cases diverse while avoiding excessive randomization
This answer comes from the articleQwen3-Coder: open source code generation and intelligent programming assistantThe
May not be reproduced without permission:AI productivity tools " How to apply Qwen3-Coder to generate test cases in automated testing scenarios?
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