Certification and Deployment Workflows with MATLAB Test
Overview
Any algorithm built for safety-critical applications requires extensive verification and validation (V&V). Formal testing methods are useful not only to ensure the quality of the algorithm but also to help generate the artifacts required for certification. In this seminar, using a case study from an AI-enabled wearable ECG monitoring device, we introduced a MATLAB-based V&V framework that can be applied to algorithms created in MATLAB.
Highlights
- Introduction to systematic testing and the MATLAB test framework
- Establishing test-driven development workflows with interactive test authoring, execution, and management tools
- Measuring and optimizing code coverage
- Analyzing code quality and project-level health
- How to perform equivalence testing with generated C/C++ or deployed software components
- Tracing requirements and generating artifacts in support of certified workflows
About the Presenter
Oscar Molina is a senior application engineer with MathWorks focusing on code generation, application deployment, and software development with MATLAB. Oscar has extensive experience with software architecture and design, object-oriented programming, and high-performance computing. Oscar holds master's and PhD degrees in petroleum engineering, a bachelor's degree in mechanical engineering, and is currently pursuing his master’s degree in computer science for the Georgia Institute of Technology.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
