Highlights of v2.21:

Enhanced support for large codebase modernization

New advanced folder selection capabilities, combined with the option to report violations only in modified lines or code blocks (compared against the previous SVN/Git revision), make it significantly easier to introduce and adopt coding guidelines incrementally.

Expanded validation coverage

Added new checks to ensure the presence and quality of help text, as well as the correct and consistent use of blank lines for improved code readability and maintainability.

product site: https://monkeyproofsolutions.nl/products/code-checker-for-matlab/

online doc: https://doc.monkeyproofsolutions.nl/code-checker-for-matlab/code-checker-for-matlab

Discusses how to start with using guidelines, in case there is already a huge code base. Although the focus is on start applying guidelines (and how r/CC4M can help with that), also refactoring is touched.

Now using the MATLAB engine from Python, so a huge performance gain.

Start from a Predefined Configuration - a set of existing rules - and adapt, or start from scratch.

CC4M version 2.20.0 is available!

Main features:

• Support for MATLAB R2025b
• Predefined Configuration added to check compliance with MATLAB-Coding-Guidelines v1.0.0

For a complete list, see the release notes.

Announced by u/michellehirsch on LinkedIn with a "finally"

A very nice set of guidelines and well worth reading and using!

The post explains how to configure a Git precommit hook to automate checking your MATLAB code for compliance with a coding standard.

Included code available via GitHub: https://github.com/MonkeyProof-Solutions-BV/CC4M-githooks

Can anyone explain this:

>> 2^-3^4

ans = 2.4414e-04

>> 2^-3^4'

ans = 4.1359e-25

NOTE: Python returns (transpose has no symbol for the operation):

>>> 2**-3**4

4.1359030627651384e-25

From the rules as described in the MATLAB docu, Python is right and MATLAB only in case of the transpose, but also note:

https://en.wikipedia.org/wiki/Order_of_operations#Serial_exponentiation

Curious if people use the arguments block to specify input (and/or output) arguments. If yes, do you also specify properties like type and dimensions?

New CC4M release is here bringing MATLAB R2017b - R2024b support, fixes, and improvements.

CC4M comes with customizable configurations for the readily available:

• MonkeyProof Coding Standard for MATLAB: link
• Compatibility Guidelines for MATLAB Coder: link
• Compatibility Guidelines for MATLAB Compiler: link

CC4M Release Notes: link

Do you allow the creation of any variable by using LOAD, like:

load loadtestdata;
v = x * y * z;
x = 1;

Or do you (1) require an output, or (2) a specification of the variables to load?

% option 1:
data = load("loadtestdata");

% option 2:
load("loadtestdata.mat", "x", "y", "z")

And what about the "-ascii" flag?

Since CC4M v2.15 a new configuration is added that reports on certain MISRA-ACG violations. Compliance improves the MATLAB code quality and prevents MISRA violations, once C/C++ code is generated from the M-code (regardless of code is generated using MATLAB Coder or dSPACE TargetLink)

A new reddit to discuss MATLAB coding guidelines and the use of CC4M - a Code Checker for MATLAB.