A method for scenario and knowledge base driven failure mode identification and analysis
By using a scenario- and knowledge-based fault mode identification method, combined with software FMEA analysis criteria, the problem of difficulty in identifying complex fault modes in existing technologies is solved, achieving comprehensive coverage of robustness testing and high-quality reliability of software products.
Patent Information
- Application Number
- CN202311011504.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-11
- Publication Date
- 2026-07-24
- Estimated Expiration
- 2043-08-11
AI Technical Summary
In existing technologies, product developers often find it difficult to effectively identify complex failure modes in software systems, which can lead to omissions in robustness test design and leave potential safety hazards.
We adopt a failure mode identification and analysis method driven by usage scenarios and knowledge base, construct software FMEA analysis criteria based on robust test design of usage scenarios, and combine model-driven, data-driven and ontology theory to identify and analyze failure modes and formulate robust test cases covering failure modes.
It enables comprehensive fault mode identification of software systems, improves the accuracy and efficiency of robustness testing, reduces security risks, and enhances the quality and reliability of software products.