A test case automatic generation method, system, device and medium
By constructing behavior sequences, sorting time sequences, and aggregating sessions from multi-source user behavior data on the cloud platform, extracting cross-module causal chains using a pre-defined causal pattern library, identifying business intent tags, and performing multi-dimensional rule matching and personalized evaluation, a standardized set of test case steps is generated. This solves the problem of test cases being disconnected from business scenarios in existing technologies, and improves the practicality and efficiency of test cases.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DAWNING CLOUD COMPUTING TECH CO LTD
- Filing Date
- 2026-04-03
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot deeply explore the business logic and user intentions behind user behavior data in cloud platform testing. This results in test cases that are out of touch with actual business scenarios, cannot effectively cover cross-module complex test scenarios, and cannot meet the needs of high-quality and comprehensive testing.
By constructing behavior sequences, sorting time series and aggregating sessions from multi-source user behavior data on the cloud platform, extracting cross-module causal chains in conjunction with a pre-set causal pattern library, identifying business intent tags, and performing multi-dimensional rule matching and personalized evaluation, a standardized set of use case steps is generated.
It achieves a deep alignment between test cases and actual business scenarios of the cloud platform, improves the practicality and scenario coverage of test cases, can adapt to different testing objectives, and improves the flexibility and efficiency of test case generation.
Smart Images
Figure CN122412296A_ABST