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ci/cd automation for simulink check

作者:

simplify adoption and optimize continuous integration/continuous delivery (ci/cd) workflows for simulink

579.0 次下载

更新时间 2023/12/13

this new support package helps you adopt and optimize continuous integration / continuous delivery (ci/cd) workflows for model-based design. with it you can address common challenges includingsetting up a pipeline tailored for model-based design, reducing build time, reducing build failures, debugging build failures, and deploying a model-based design workflow to the team and ci system.

the support package provides:

customizable process modeling system to define your build and verification process
build system to generate and optimally execute the process in your ci system
process advisor app to deploy and automate your prequalification process
examples for integration with common ci systems such as jenkins or gitlab

the support package analyzes your project and generates a model-based design ci/cd pipeline based on your own process definition. you can reduce build times by performing optimized builds in popular ci systems such as jenkins or gitlab. you can prequalify your work in simulink to reduce build failures in ci. if a failure occurs in ci, you can bring the results back into simulink to reproduce and debug the issue.

this package is under active development, please share your insight, questions, and experiences to aid future updates by contacting us at .

prerequisites:

the support package requiresmatlab® version r2022a update 4 and later updates, and requires the use of matlab projects, see .

you can use process advisor on your desktop without a ci system.

to integrate the build system provided in this support package into yourci/cd system, you first need to configure your ci system torun matlab and simulink products. for an example on how configure jenkins and gitlab, see. for information on the supported platforms, see

documentation:

(includes example process models and gitlab yaml)

getting started:

you can install this support package from or by downloading from . if downloading from file exhange, double click the .mlpkginstall file to begin the installation. if you receive an error about the support package not being compatible with your version of matlabbut you have r2022a installed, then check that the .mlpkginstall file is associated with matlab r2022a.

the process advisor app runs on matlab projects. process advisor can be opened foran existing model in your project or the project itself. to open for an existing model in a project, on the apps tab of the model, under model verification, validation, and test, click process advisor, see the image below.

to open for a project, click process advisor app on the project tab, see image below:

an example project is provided to demonstrate the capabilities of process advisor. to open the project, matlab command line with the command:

>>processadvisorexamplestart

limitations:

the incremental build technology and task staleness detection are under active development. tasks will not become outdated when changing untracked artifacts. refer to the section in the appendix of the documentation to see the list of untracked artifacts. these limitations are planned to be removed in future updates to the support package. follow this file exchange page to be notified of updates.

version history

current version for matlab r2022a: december 2023, version 22.1.12.

current version for matlab r2022b: december 2023, version 22.2.13.

current version for matlab r2023a: december 2023, version 23.1.13.

current version for matlab r2023b: december 2023, version 23.2.3.

matlab 版本兼容性

创建方式 r2022a

兼容 r2022a 到 r2024a 的版本

平台兼容性

windows macos (apple 芯片) macos (intel) linux

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