robust-matlab-2018
所属分类：模式识别(视觉/语音等)
开发工具：HTML
文件大小：709KB
下载次数：0
上传日期：2019-12-03 15:32:59
上 传 者：
sh-1993
说明： 相关的高级MATLAB软件开发能力，包括错误处理、面向对象编程...
(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,)
文件列表:
ConfigurePlot.prj (3215, 2023-09-14)
LICENSE (1486, 2023-09-14)
finance-conference-signature.png (20755, 2023-09-14)
robust2018.prj (6614, 2023-09-14)
runTestsWithCobeturaCodeCoverage.m (889, 2023-09-14)
tbx (0, 2023-09-14)
tbx\apps (0, 2023-09-14)
tbx\apps\ConfigurePlot.mlappinstall (107266, 2023-09-14)
tbx\apps\ConfigurePlotAppExample.mlapp (38056, 2023-09-14)
tbx\apps\ConfigurePlotAppScreenshot.png (67757, 2023-09-14)
tbx\demos.xml (1057, 2023-09-14)
tbx\doc (0, 2023-09-14)
tbx\doc\GettingStarted.mlx (2794, 2023-09-14)
tbx\doc\GettingStarted.pdf (16525, 2023-09-14)
tbx\info.xml (1129, 2023-09-14)
tbx\robust2018 (0, 2023-09-14)
tbx\robust2018\BankAccount.m (800, 2023-09-14)
tbx\robust2018\Contents.m (724, 2023-09-14)
tbx\robust2018\CreateMockObjectExample.mlx (5262, 2023-09-14)
tbx\robust2018\DataService.m (201, 2023-09-14)
tbx\robust2018\PropertyValidation.mlx (4043, 2023-09-14)
tbx\robust2018\ValidateProps.m (343, 2023-09-14)
tbx\robust2018\findArea.mlx (297019, 2023-09-14)
tbx\robust2018\functionSignatures.json (565, 2023-09-14)
tbx\robust2018\html (0, 2023-09-14)
tbx\robust2018\html\CreateMockObjectExample.html (24440, 2023-09-14)
tbx\robust2018\html\PropertyValidation.html (12782, 2023-09-14)
tbx\robust2018\html\findArea.html (207442, 2023-09-14)
tbx\robust2018\html\helptoc.xml (3819, 2023-09-14)
tbx\robust2018\mySafeFileTxtWriter.m (477, 2023-09-14)
tbx\robust2018\myUnsafeFileWriter.m (223, 2023-09-14)
tbx\robust2018\trader.m (385, 2023-09-14)
test (0, 2023-09-14)
test\TraderTest.m (2255, 2023-09-14)
test\tBankAccount.m (916, 2023-09-14)
test\testConfigurePlotAppExample.m (985, 2023-09-14)
test\testFindArea.m (1876, 2023-09-14)
# 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
```
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