Testing
Hardware-in-the-Loop (HIL) testing sits between pure simulation and real-world testing. The actual production hardware runs real firmware, but its environment — sensors, actuators, and physical processes — is simulated. This gives you the accuracy of hardware testing with the speed and controllability of simulation. This guide covers HIL
Testing
Testing IoT firmware is hard. You need hardware that may be scarce, expensive, or not yet manufactured. A device crash takes seconds to reproduce but hours to debug without proper tools. Simulators change this equation — they let you run firmware tests on any CI server without touching real hardware. This
Testing
FreeRTOS applications are notoriously hard to unit test because they depend on a real-time scheduler, hardware interrupts, and timing. With the right approach—mocking the FreeRTOS kernel API—you can test task logic, queue interactions, and semaphore behavior deterministically on your host machine. The Problem with Testing FreeRTOS Code
Testing
Catch2 is popular for desktop C++ testing, but embedded developers often hit its limits when dealing with constrained targets. This guide covers advanced Catch2 configurations for bare-metal systems, cross-compilation pipelines, and testing on real or emulated hardware. Catch2 v3 vs v2 for Embedded Catch2 v3 is a header
Testing
Embedded C++ development presents unique testing challenges: hardware dependencies, limited resources, and real-time constraints make traditional unit testing difficult. GoogleTest, when configured correctly, handles all of these—letting you test firmware logic on your development machine before it ever touches silicon. Why GoogleTest for Embedded C++ GoogleTest (GTest) is
Testing
Hardware-in-the-Loop (HIL) testing puts real firmware under test by simulating the physical environment it would operate in. While basic HIL setups test simple I/O, production-grade HIL rigs implement sophisticated patterns for automotive ECUs, industrial controllers, and IoT devices. This guide covers the architectural patterns that
Testing
Arduino and ESP32 projects often lack automated testing, relying on manual "flash and observe" workflows. This guide builds a complete CI pipeline: unit tests that run on your host machine in milliseconds, integration tests that run on real hardware, and GitHub Actions that tie everything together. The Testing
Testing
Real-Time Operating Systems introduce concurrency, scheduling, and timing constraints that make testing significantly harder than single-threaded firmware. This guide covers testing strategies for FreeRTOS, Zephyr, and VxWorks: verifying task timing and deadlines, detecting race conditions and priority inversion, testing memory management in constrained environments, using SystemView for execution
Testing
JTAG and GDB together give embedded engineers precise, non-invasive control over firmware execution on real hardware. This guide covers JTAG protocol fundamentals, connecting via OpenOCD, remote GDB debugging, breakpoints and watchpoints for test validation, inspecting memory and peripheral registers, and scripting GDB with Python to run automated test assertions
Testing
The Controller Area Network (CAN) bus is the backbone of automotive electronics: every modern vehicle carries tens of ECUs communicating over it. Testing those ECUs requires understanding the CAN protocol, the diagnostic layer (UDS/ISO 14229), the tools available for sniffing and simulation, and how to automate test scenarios that
Testing
Embedded systems testing requires a different mindset than application testing — hardware may not be available, timing is critical, and failures can be physically dangerous. This guide covers unit testing embedded C/C++ with Unity and CppUTest, mocking hardware registers, emulating targets with QEMU, and wiring everything into a CI pipeline
Testing
Testing firmware on Raspberry Pi and microcontrollers bridges the gap between host-based unit tests and full hardware integration testing. This post covers pytest-embedded for Espressif targets, MicroPython test patterns, GPIO and serial interface testing, mocking hardware peripherals with a secondary controller, and building CI/CD pipelines that execute