模型和代码测试度量

收集包括基于需求的测试和代码测试在内的模型测试度量

使用模型和代码测试度量来评估软件单元模型的测试的状态。打开模型测试仪表板来监控工程中的单元和模型测试工件。当您定义工件（如需求、设计单元模型和运行单元测试）时，仪表板会测量每个单元的测试工件的可追溯性和完整性。完成模型测试后，打开 SIL 代码测试或 PIL 代码测试仪表板，分别监控软件在环 (SIL) 或处理器在环 (PIL) 代码测试结果。使用度量结果来添加缺失的可追溯性链接，填补测试缺口，并跟踪测试进度。您还可以使用度量 API 以编程方式收集度量结果（例如在持续集成系统中），并将结果保存在报告中。

类

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收集度量数据

`metric.Engine`	Collect metric results (自 R2020b 起)
`metric.Result`	Results from specified metric (自 R2020b 起)

函数

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收集模型测试工件的度量数据

modelTestingDashboard Open Model Testing Dashboard (自 R2020b 起)

主题

模型测试

Explore Status and Quality of Testing Activities Using Model Testing Dashboard
Evaluate the status and quality of model testing in your project.
Assess Requirements-Based Testing for ISO 26262
Use the Model Testing Dashboard to analyze the completeness and quality of requirements-based testing activities in accordance with the ISO 26262 standard.
Fix Requirements-Based Testing Issues
Fix model testing quality issues by using the Model Testing Dashboard.
Monitor Low-Level Test Results in the Model Testing Dashboard
Run subsystem-level tests and analyze aggregated model coverage.
Hide Requirements Metrics in Model Testing Dashboard and in API Results
Hide requirements metrics to display only the metrics for your test case breakdown, model test status, and model coverage.
以编程方式收集模型测试工件的度量
使用脚本来评估基于需求的测试的质量。
Collect Requirements-Based Testing Metrics Using Continuous Integration
Use a continuous integration system to test models and assess requirements-based testing completeness.
Model Testing Metrics
Use the model testing metrics to return metric data on the status and quality of your model testing.

代码测试

View Status of Code Testing Activities for Software Units in Project
Use the SIL Code Testing or PIL Code Testing dashboards to assess the compliance of software-in-the-loop (SIL) and processor-in-the-loop (PIL) code testing.
Identify and Troubleshoot Gaps in Code Testing Results and Coverage
Use the code testing dashboards to assess and address code testing issues.
Collect Code Testing Metrics Programmatically
Use a script to assess the status and quality of your code testing.
Code Testing Metrics
Use the code testing metrics to return metric data on the status and quality of your software-in-the-loop (SIL) and processor-in-the-loop (PIL) testing.

工件可追溯性

Create Project to Use Model Design and Model Testing Dashboards
Create a project for your model and use the dashboards to analyze the files in your project.
Manage Project Artifacts for Analysis in Dashboard
Set up and manage a project that uses the dashboards.
Categorize Models in Hierarchy as Components or Units
Label models by their testing interface to more easily track requirements-based testing activities for a model hierarchy.
Explore Traceability Information for Units and Components
View traceability relationships for project artifacts like models, libraries, data dictionaries, requirements, tests, and test results.
Monitor Artifact Traceability and Detect Outdated Results with Digital Thread
Monitor the relationships between artifacts and identify outdated results.
View Artifact Issues in Project
Identify and fix the artifact issues that can lead to incorrect metric results.
Resolve Missing Artifacts, Links, and Results
Troubleshoot artifact tracing and analysis in the dashboards.