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Hands-On Embedded Programming with C++17

Hands-On Embedded Programming with C++17

By : Maya Posch
2.5 (6)
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Hands-On Embedded Programming with C++17

Hands-On Embedded Programming with C++17

2.5 (6)
By: Maya Posch

Overview of this book

C++ is a great choice for embedded development, most notably, because it does not add any bloat, extends maintainability, and offers many advantages over different programming languages. Hands-On Embedded Programming with C++17 will show you how C++ can be used to build robust and concurrent systems that leverage the available hardware resources. Starting with a primer on embedded programming and the latest features of C++17, the book takes you through various facets of good programming. You’ll learn how to use the concurrency, memory management, and functional programming features of C++ to build embedded systems. You will understand how to integrate your systems with external peripherals and efficient ways of working with drivers. This book will also guide you in testing and optimizing code for better performance and implementing useful design patterns. As an additional benefit, you will see how to work with Qt, the popular GUI library used for building embedded systems. By the end of the book, you will have gained the confidence to use C++ for embedded programming.
Table of Contents (17 chapters)
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Section 1: The Fundamentals - Embedded programming and the role of C++
7
Section 2: Testing, Monitoring
12
Section 3: Integration with other tools and frameworks

Local and on-chip debugging

In Chapter 6, Testing OS-Based Applications, we looked at debugging applications using Valgrind and similar tools, as well as GDB and kin. With the OS-based integration tests for MCU-based projects, such as those demonstrated in the Example  ESP8266 integration test section, we can use the exact same techniques, profiling and debugging the code without concerning ourselves just yet with the fact that the same code will be running on a much slower and more limited platform during final integration testing on real hardware.

The real challenge comes during that final integration stage, when the firmware—which we have been debugging on our fast desktop system using Valgrind and other highly capable tools—is now running on a paltry 16 MHz ATmega MCU without the ability to quickly launch the code with a...

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