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Automated Testing

Automated Testing

In IoT hardware development, manual testing is time-consuming and prone to missing edge cases. This chapter introduces how to leverage AI development tools like Trae, combined with USB oscilloscopes, debug serial ports, AI-generated test firmware, and Python scripts, to build a comprehensive automated testing system. By feeding circuit signals back to the computer and jointly analyzing serial logs and waveform data, you can achieve end-to-end automated verification from hardware signals to software logic, significantly improving testing efficiency and coverage.

  • Completed all previous 27 chapters
  • Basic understanding of ESP32 peripherals (UART, GPIO, ADC, etc.)
  • Basic knowledge of electronic measurement (oscilloscopes, signal analysis)
  • Basic Python programming skills

After completing this chapter, you will be able to:

  • Set up an automated testing development environment with AI tools
  • Capture circuit signals to a computer via USB oscilloscopes
  • Use AI to assist in writing ESP32 test firmware
  • Use AI to assist in writing Python automated test scripts
  • Perform joint signal and log analysis via debug serial ports
  • Design a complete hardware-software integrated testing workflow
    1. Automated Testing Architecture Overview
    1. Environment Setup: Trae AI Tools + Python + Oscilloscope SDK
    1. USB Oscilloscope Selection & Signal Acquisition
    1. Oscilloscope Data Capture: Python-Driven Waveform Reading & Parsing
    1. AI-Assisted ESP32 Test Firmware Development
    1. Debug Serial Port (UART) Data Capture & Analysis
    1. Joint Timing Analysis of Signals & Logs
    1. Python Automated Test Framework Design
    1. Test Case Writing & Edge Case Coverage
    1. Test Report Generation & Continuous Integration
    1. Common Signal Issues & Debugging Techniques
    1. Hands-On Project: Full-Feature Automated Testing for ESP32

Status: 🚧 Under development

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