matlab-modernize-code

To update deprecated MATLAB functions, replace legacy calls like csvread, xlsread, and eval with modern equivalents such as readmatrix, readtable, and safer idioms. This code modernization process aligns with MathWorks best practices to prevent future breakage.

Fixing MATLAB "not recommended" warnings involves refactoring legacy code by targeting specific deprecated symbols and anti-patterns. Rewriting outdated file I/O, graphics, and deep learning calls into supported APIs resolves these static analysis warnings.

To migrate legacy MATLAB deep learning code, replace outdated training functions like trainNetwork with current equivalents such as trainnet. This code migration ensures your deep learning models use supported, up-to-date APIs.

Yes, you can replace unsafe eval and str2num patterns in MATLAB by applying security-focused code refactoring. This process rewrites risky evaluation anti-patterns into safer, maintainable idioms that improve code correctness and security.

Modernizing MATLAB code is designed to follow static analysis checks that flag deprecated or risky constructs. Running code checks first identifies the specific outdated patterns to target for migration and refactoring.