UC11_TC_16

- ML inference * Pre-conditions: The system under testing is in operational mode, environmental and intrinsical data are being logged. * Input conditions / steps: A pre-defined fault is injected into the system via IMFIT or another tool. * Expected results: ML engine detects the fault by inference and classifies it with an accuracy rate of no less than 95%

Test Case Id Use Case Number + Test Case Number For example: UC7_TC_1

Test Case Evaluation Criteria

Test Case V&V Method

Test Case Component Under Evaluation

VALU3S Framework

Evaluation Environment Type Type of environment where the method is applied. It can be more than one type of environment.(Dimension 1)

Evaluation Type Type of evaluation performed with that method. If a method is hybrid, more than one type can be selected.(Dimension 2)

Type of Component Under Evaluation Type of components that can be evaluated with that method. It can be more than one type.(Dimension 3)

Evaluation Stage The evaluation stage where the method is used.(Dimension 5)

Purpose of the Component Under Evaluation The type of purpose that can be evaluated by a method. It can be more than one type.(Dimension 6)

Type of Requirement Under Evaluation The type of requirements that a method is able to evaluate. It can be more than one type.(Dimension 7)

Evaluation Performance Indicator The type of evaluation criteria or KPI that a method is able to improve. It can be more than one type.(Dimension 8)

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