Model Testing with TPT: Verification for Simulink Models

Automating the verification and validation of embedded software models is a critical skill in modern automotive and control systems engineering. This course provides a clear, structured path to mastering Time Partition Testing (TPT) for Simulink and Targetlink models. You will transition from understanding basic testing concepts to building structured test frames, executing parallel test cases, and writing custom Python assessments. By focusing on practical design patterns, you will learn how to systematically trace requirements and generate comprehensive validation reports. What you'll learn: * Understand the core principles of Time Partition Testing (TPT) and Model-in-the-Loop (MIL) testing workflows. * Configure test platforms and build robust test frames for Simulink and Targetlink models. * Design structured test cases using automatons, states, testlets, and step lists. * Write custom test assessment scripts using Python and the Signal Assessment API. * Manage requirements traceability by linking test cases directly to system specifications. * Generate detailed execution reports and manage multi-core test configurations. The course begins with foundational definitions of testing environments before guiding you through test case design, state-based testing, and Python-driven assessments. You will read through clear, step-by-step explanations and practical testing scenarios designed to build your confidence. This course is designed for entry-level test engineers, automotive software developers, and students with a basic understanding of control systems who want to learn model-based testing from scratch. No prior experience with TPT is required. Start building reliable, automated test suites for embedded models today.