Python for Embedded Software Testing — 22-Day Bootcamp

Python for Embedded Software Testing: 22-Day Bootcamp — Complete Syllabus

Are you interested in learning how Python is used to test embedded software, automotive ECUs, CAN communication, and diagnostic systems?

CLCODING presents the Python for Embedded Software Testing — 22-Day Bootcamp, a practical learning program designed to help aspiring embedded testers, Python developers, automotive engineers, and software validation professionals develop real-world testing and automation skills.

This bootcamp covers Python testing frameworks, hardware communication, CAN bus testing, UDS diagnostics, Vector CANoe, regression testing, and hands-on projects.

About the Bootcamp

Embedded software plays an important role in automotive systems, industrial automation, robotics, medical devices, and IoT products. Testing this software requires specialized knowledge of communication protocols, hardware interfaces, test automation, and system validation.

Python is widely used to automate testing workflows, validate communication between devices, process logs, and generate test reports.

This 22-day bootcamp provides a structured path from testing fundamentals to developing a Python-based embedded software testing framework.

Bootcamp Highlights

• Duration: 22 days

• Focus: Embedded software testing and automation

• Programming language: Python

• Testing framework: pytest and unittest

• Communication protocols: UART, SPI, I²C, CAN and UDS

• Automotive testing: CANoe and ECU diagnostics

• Practical learning: Daily coding exercises and projects

• Final outcome: An embedded testing automation project

Complete 22-Day Bootcamp Syllabus

Phase 1: Embedded Software Testing Fundamentals

Day 1: Introduction to Embedded Software Testing

• Introduction to embedded systems and microcontrollers

• Understanding ECUs and embedded software architecture

• Embedded software development lifecycle

• Verification and validation

• V-Model and software testing processes

• Roles and responsibilities of embedded test engineers

Day 2: Python Fundamentals for Test Automation

• Python syntax, variables, and data types

• Operators and conditional statements

• Loops, functions, and modules

• Exception handling

• File handling and working with test data

• Writing reusable Python scripts

Day 3: Software Testing Fundamentals

• Introduction to manual and automated testing

• Test plans, test scenarios, and test cases

• Functional and non-functional testing

• Boundary-value and negative testing

• Test coverage and defect reporting

• Writing test cases for embedded applications

Phase 2: Python Testing Frameworks

Day 4: Unit Testing with unittest and pytest

• Introduction to Python testing frameworks

• Writing test functions and test classes

• Assertions and expected results

• pytest fixtures and parameterization

• Test discovery and execution

• Generating basic test reports

Day 5: Mocking, Stubs, and Advanced Test Techniques

• Understanding mocks, stubs, and test doubles

• Using unittest.mock

• Isolating hardware-dependent code

• Testing exceptional conditions

• Boundary-value and equivalence-partition testing

• Designing maintainable test suites

Day 6: Logging, Configuration, and Test Reporting

• Python logging module

• Managing configuration files using JSON and YAML

• Reading and processing test data

• Organizing test results and execution logs

• Generating structured test reports

• Building a reusable test automation project structure

Phase 3: Hardware Interfaces and Communication Testing

Day 7: Serial Communication Testing with PySerial

• Introduction to UART and serial communication

• Serial ports, baud rates, and communication settings

• Sending and receiving serial data

• Handling timeouts and communication failures

• Validating received data

• Automating serial communication tests

Day 8: SPI, I²C, GPIO, and Sensor Testing

• Introduction to SPI and I²C protocols

• GPIO input and output concepts

• Sensor communication and data validation

• Hardware abstraction layers

• Testing device responses

• Simulating hardware interfaces when physical devices are unavailable

Day 9: Hardware-in-the-Loop Testing Fundamentals

• Introduction to Hardware-in-the-Loop (HIL)

• Test benches and hardware interfaces

• Software-in-the-Loop versus HIL testing

• Fault injection and error simulation

• Testing timeouts and abnormal conditions

• Developing reusable hardware testing scripts

Phase 4: CAN Bus Testing with Python

Day 10: CAN Protocol Fundamentals

• Introduction to Controller Area Network (CAN)

• CAN architecture and network communication

• CAN frames and arbitration IDs

• Standard and extended CAN identifiers

• Data frames and remote/error frame concepts

• CAN bus errors and communication timing

• Introduction to automotive communication networks

Day 11: CAN Communication Testing with python-can

• Installing and configuring python-can

• Creating virtual CAN buses

• Sending and receiving CAN messages

• Working with arbitration IDs and message payloads

• Filtering messages and handling timeouts

• Validating CAN message contents

• Building a CAN communication test script

Day 12: Advanced CAN Testing and Data Analysis

• Periodic CAN message transmission

• Message timing and timeout validation

• CAN logging and replay

• Filtering and analyzing CAN traffic

• Decoding signals using DBC files and cantools

• Testing expected and unexpected messages

• Building an automated CAN testing utility

Phase 5: UDS Diagnostics Testing

Day 13: Introduction to UDS and ECU Diagnostics

• Understanding Unified Diagnostic Services (UDS)

• Introduction to ISO 14229

• Diagnostic sessions and service identifiers

• Positive and negative diagnostic responses

• Negative Response Codes (NRCs)

• Data Identifiers (DIDs) and Diagnostic Trouble Codes (DTCs)

• ECU diagnostic workflows

Day 14: UDS Test Automation Using Python

• Structuring UDS requests and responses

• Reading ECU data using ReadDataByIdentifier

• Validating diagnostic responses

• Testing session control

• Handling timeouts and invalid requests

• Testing negative responses

• Writing reusable UDS test cases

Day 15: UDS over CAN and ISO-TP

• Understanding ISO-TP transport protocol

• Single-frame and multi-frame communication

• Flow control and segmented messages

• Implementing UDS over CAN using compatible Python libraries

• Testing diagnostic sessions and ECU reset services

• Validating communication failures and timeouts

• Building a basic diagnostic test suite

Phase 6: CANoe and Professional Test Automation

Day 16: Introduction to Vector CANoe

• Introduction to CANoe and automotive network testing

• Creating measurement configurations

• Understanding simulation environments

• Working with CAN traffic and trace windows

• Monitoring messages and communication events

• Introduction to diagnostic testing in CANoe

• Executing basic test scenarios

Day 17: CANoe Test Modules and CAPL Basics

• Introduction to CAPL programming

• Creating basic CAPL test scripts

• Understanding test modules and test cases

• Working with test events and verdicts

• Simulating network communication

• Validating expected CAN messages

• Executing automated tests in CANoe

Day 18: Python Integration with CANoe

• Understanding Python-based CANoe automation

• Using supported CANoe APIs and COM automation where applicable

• Starting and controlling test executions

• Reading test results and execution status

• Integrating Python scripts with test workflows

• Collecting logs and generating reports

• Building a reusable Python-CANoe automation workflow

Day 19: Regression Testing and CI/CD Fundamentals

• Introduction to regression testing

• Test suites and automated execution

• Organizing tests by feature and priority

• Automating repeated test scenarios

• Version control using Git

• Introduction to CI/CD pipelines

• Generating test summaries and HTML reports

Phase 7: Capstone Project and Career Preparation

Day 20: Project — Python-Based CAN Testing Framework

Build a CAN testing framework that includes:

• CAN message transmission and reception

• Virtual CAN bus simulation

• Message validation and filtering

• Timeout and error handling

• Automated test cases using pytest

• Logging and test result summaries

Day 21: Project — Automated UDS Diagnostic Testing

Develop a diagnostic testing solution that includes:

• UDS request and response validation

• DID reading and diagnostic service tests

• Positive and negative test scenarios

• Timeout and error handling

• Automated test execution

• Structured diagnostic test reports

Day 22: Final Project Demonstration and Interview Preparation

• Integrating CAN and UDS test components

• Reviewing the test automation framework

• Debugging and improving test reliability

• Understanding test coverage and regression results

• Presenting the final project

• Embedded software testing interview questions

• Career paths in embedded testing and automotive validation

Tools and Python Libraries Covered

During the bootcamp, participants will work with the following tools and libraries:

• Python 3: Core programming and test automation

• pytest: Automated testing, fixtures, and parameterized tests

• unittest: Unit testing and mocking

• PySerial: Serial communication testing

• python-can: CAN communication and message testing

• cantools: DBC file parsing and CAN signal decoding

• python-can-isotp: ISO-TP transport protocol support

• Git: Version control and project management

• Vector CANoe: Automotive network simulation and testing

• CAPL: CANoe scripting fundamentals

• Logging and reporting tools: Test execution logs and result summaries

Tool availability and integration methods may depend on the installed software version, supported interfaces, and licensing.

Final Capstone Project

Python-Based Embedded Software Testing Automation Framework

The final project combines the major concepts taught throughout the bootcamp.

Participants will develop a reusable testing framework that can:

1. Simulate or connect to a CAN communication environment.

2. Send and validate CAN messages.

3. Automate UDS diagnostic test cases.

4. Execute functional and negative tests.

5. Handle communication errors and timeouts.

6. Record test execution logs.

7. Generate automated test reports.

8. Integrate with CANoe when the required licensed environment is available.

Participants without physical ECUs or CAN hardware can use simulation-based exercises for many of the core programming and testing activities.

Who Should Join This Bootcamp?

This bootcamp is suitable for:

• Python developers interested in embedded systems

• Embedded software engineers

• Automotive software testers

• ECU validation and verification engineers

• Hardware and firmware testing professionals

• Electronics and electrical engineering students

• Test automation engineers

• Beginners interested in automotive diagnostics and embedded testing

Basic Python knowledge is helpful. Participants who are new to embedded testing can follow the structured progression from fundamentals to practical projects.

What Will You Learn by the End?

By completing the 22-day program, participants will have practical experience with:

• Writing automated test scripts using Python

• Creating test cases with pytest and unittest

• Testing serial and CAN communication

• Understanding UDS diagnostic workflows

• Automating selected diagnostic test scenarios

• Learning CANoe testing concepts and Python integration

• Building reusable testing frameworks

• Generating test logs and reports

• Developing a portfolio-ready embedded testing project

Frequently Asked Questions

1. Do I need prior embedded systems experience?

No. The bootcamp begins with embedded testing fundamentals. Basic Python knowledge will make the practical sessions easier.

2. Do I need a physical ECU or CAN interface?

Not for every session. Virtual CAN and simulation-based exercises can cover many concepts. Physical hardware is required for certain real-device validation activities.

3. Will the bootcamp cover CANoe and UDS?

Yes. The syllabus includes CANoe fundamentals, CAPL basics, Python integration, UDS diagnostics, and UDS over CAN.

4. Will I build projects?

Yes. The final sessions focus on CAN testing automation and UDS diagnostic testing, with logging and test reports.

5. Is this bootcamp suitable for automotive testing careers?

The topics are relevant to automotive software testing, ECU validation, diagnostics, and test automation roles. Career outcomes depend on individual practice, prior experience, and employer requirements.

Start Your Embedded Testing Journey with CLCODING

If you want to learn how Python supports embedded software testing, automotive communication, ECU diagnostics, and test automation, this 22-day bootcamp provides a structured path with practical exercises and project development.

Bootcamp: Python for Embedded Software Testing
Duration: 22 Days
Organized by: CLCODING
Core topics: Python, pytest, CAN, UDS, CANoe, and Embedded Test Automation

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