https://github.com/mathworks/robust-matlab-2018
As the size and complexity of your MATLAB® application increases, you want to make sure to structure software projects well, ensuring users can run code without encountering unexpected behaviour or errors, for example. In this talk, you will learn about relevant advanced MATLAB software development capabilities, including error handling, object-oriented programming (OOP), unit testing, version control, and change tracking.
https://github.com/mathworks/robust-matlab-2018
Last synced: 4 months ago
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As the size and complexity of your MATLAB® application increases, you want to make sure to structure software projects well, ensuring users can run code without encountering unexpected behaviour or errors, for example. In this talk, you will learn about relevant advanced MATLAB software development capabilities, including error handling, object-oriented programming (OOP), unit testing, version control, and change tracking.
- Host: GitHub
- URL: https://github.com/mathworks/robust-matlab-2018
- Owner: mathworks
- Created: 2018-05-15T20:10:17.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-09-14T05:12:22.000Z (almost 2 years ago)
- Last Synced: 2025-01-03T11:11:50.449Z (6 months ago)
- Language: HTML
- Homepage:
- Size: 1.18 MB
- Stars: 12
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Developing Robust MATLAB Code
Paul Peeling, Mathworks
As the size and complexity of your MATLAB® application increases, you want make sure to structure software projects well, ensuring users can run code without encountering unexpected behaviour or errors, for example. In this talk, you will learn about relevant advanced MATLAB software development capabilities, including error handling, object-oriented programming (OOP), unit testing, version control, and change tracking.
This repository provides the code and examples used in the session.
Code coverage report for this repository can be generated by the [codecov.io](https://codecov.io) service as described in a recent Developer Zone blog post: [Cov’ed Code All Throughout the Interwebs](https://blogs.mathworks.com/developer/2018/04/17/codecov-and-cobertura/)
To generate code coverage, run the script
```
runTestsWithCobeturaCodeCoverage.m
```