Tutorial: GNU gcov Coverage with the NXP i.MX RT1064

This tutorial shows how to use and collect coverage data using the GNU gcov tool. As board and hardaware I’m using the NXP i.MX RT1064 EVK:

MIMXRT1064-EVK running ThreadX

While this tutorial uses this specific board, things are pretty generic and should be applicable for any other board or MCU.

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MCUXpresso IDE 11.4.0

University exam grading are all done now and results are in the system, and it is already time to prepare for the fall semester. I always try to use the latest and greatest tools in my courses, and the NXP MCUXpresso IDE 11.4.0 just came out. So time to have a look and explore the changes and features.

Debugging with NXP MCUXpresso IDE 11.4.0
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Finding Memory Bugs with Google Address Sanitizer (ASAN) on Microcontrollers

Dangling pointers and memory corruption problems are nasty issues for any developer, and usually hard to find and locate in the code. Luckily Google has developed an open source tool to solve such issues: the Address Sanitizer (ASAN). The tool is available for x86 and other desktop style architectures, including Android and Linux. This article describes how ASAN can be used for an embedded target, e.g. ARM Cortex-M4 or similar.

Catching memory errors on ARM Cortex-M4F with ASAN
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Visual Studio Code for C/C++ with ARM Cortex-M: Part 4 – Debug

The previous parts were about installation, project setup and building. This one is about debugging an ARM Cortex-M Microcontroller with Visual Studio Code:

Cortex-M4 (NXP K22FN512) Debugging with Visual Studio Code
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Tutorial: GNU Coverage with MCUXpresso IDE

If you are developing Linux or desktop applications with GNU tools, you  very likely are familiar with gcov: the GNU coverage tool. It collects data what parts of the code gets executed and represents that in different formats, great to check what is really used in the application code or what has been covered during multiple test runs.

Coverage Information with gcov

Coverage Information with gcov

line never executed

line never executed

GNU coverage is possible for resource constraint embedded systems too: it still needs some extra RAM and code space, but very well spent for gathering metrics and improves the firmware quality. As I wrote in “MCUXpresso IDE V11.3.0 for 2021” things are now easier to use, so here is a short tutorial how to use it.

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NXP published MCUXpresso SDK 2.9.0 on GitHub

There are many different aspects of Open Source projects: It is not only about the fact if the sources are available (‘open’). It is about the licensing terms (how permissible is it, what can I do with it), maintenance and continuous development (what has changed between releases), how and where is it delivered (Sourceforge, dedicated distribution, packaging) up to collaboration (how can I contribute or submit issues).

NXP has now published the MCUXpresso SDK on Github:

MCUXpresso SDK on GitHub

MCUXpresso SDK on GitHub

Something I was waiting for a long time.

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Eclipse CODAN (Static Code Analysis) for C/C++

The Eclipse CODAN (Code Analysis) plugin is part of CDT and is a powerful static analysis tool finding all kind of possible bugs and issues. Still to my surprise not many C/C++ developers take advantage of it maybe because they are not aware that it exists?

ups! Programming error catched by CODAN

ups! Programming error detected by CODAN

In this article I show a few tips how to effectively use it, especially with the NXP MCUXpresso SDK.

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New MetaClockClock V3 finished with 60 Clocks

The holiday break at the end of the year is always a good time to finish projects started during the year. This one is about my ‘MetaClockClock’ Version 3.

Red Hands on Blue

2020 with Red Hands on Blue

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Getting a 96bit Unique ID for each Kinetis Device using MCUXpresso SDK

The NXP Kinetis devices implement a UID (Unique ID) for each device, using the ‘Unique Identification Register) which is part of the SIM (System Integration Module):

SIM Unique ID

SIM Unique ID (NXP K22P144M120SF5RM.pdf Reference Manual)

While this number should be unique, I was wondering last week why students in the labs reported the same UID for multiple robots in the lab. So maybe this number is not so unique as it should be?
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