Interface automatic test management method and device, equipment and medium
By using automated interface testing management methods, interface documents are automatically parsed and standardized test case data is generated. Combined with parameterized requests and grouping strategies, the problem of low efficiency due to repetitive operations in traditional interface testing is solved, achieving efficient, accurate, and intelligent management of interface testing, and improving test coverage and problem response speed.
Patent Information
- Application Number
- CN202511103167.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-07
- Publication Date
- 2025-11-25
AI Technical Summary
Traditional interface testing suffers from low efficiency and error-proneness due to repetitive operations, especially during regression verification and abnormal scenario reproduction. Manual operations are heavily relied upon, and the testing process requires frequent switching of test scenarios, maintenance of test data, and recording and updating of problem status, which can easily lead to omissions or incomplete test results.
An automated interface test management approach is adopted, which generates standardized interface test case data by parsing interface documents. Combined with parameterized request configuration and test case execution grouping strategies, the interface documents are automatically parsed, key fields are identified and project tags are generated, a parameter dependency graph is constructed, and semantic similarity and graph neural networks are used for grouping optimization. Multi-level verification rules and exception handling mechanisms are set up to achieve integrated management from test data generation to issue tracking.
It improves the efficiency and accuracy of interface testing, reduces inconsistencies and misoperations caused by human intervention, achieves a high degree of automation and intelligence in the interface testing process, significantly improves test coverage and problem response speed, and reduces the risk of human error.