模型和代码测试度量
R2026b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。
App
| 模型测试仪表板 | 评估模型和生成的代码的验证状态和质量 |
类
函数
主题
工程模型测试
- Summarize Status of Testing for Project
Verify requirements traceability and model test coverage across the models in your project by using the Project Model Testing dashboard. - 工程模型测试度量
评估工程中模型的验证状态和质量。
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. - 修复基于需求的测试问题
使用模型测试仪表板修复模型测试质量问题。 - Monitor Low-Level Test Results in the Model Testing Dashboard
Run subsystem-level tests and analyze aggregated model coverage. - View Model Testing Status in Simulink Test Manager
View the status and quality of your model testing activities from Simulink Test Manager. - 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. - Evaluate Status of Back-to-Back Testing for Software Units
Compare test results back-to-back in the code testing dashboards. - 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.
仪表板和度量的自定义项
- Adjust Dashboard Thresholds to Match Your Testing Criteria
Use custom threshold sets to change how the dashboard evaluates your metric results.
工件可追溯性
- 创建工程以使用模型设计和模型测试仪表板
为您的模型创建一个工程并使用仪表板来分析工程中的文件。 - 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 Using Trace Views
View relationships between 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.
