continuous modeling with matlab and microsoft azure devops

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Continuous Modeling with MATLAB andMicrosoft Azure DevOpsWojciech Halabis

Test and Validation Engineer

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1. Introduction

2. Motivation

3. Solution

4. Microsoft Azure DevOps

5. Use Cases

6. Conclusion

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Introduction about myself1. Introduction

Working at CLAAS since August 2018.

Professional software development since 2013.

Current position: Test Automation in IoT (Architectural design, Test specification and implementation, continuous testing…).

5+ years experience in modular software design using “git flow”.

I am 33 years old.

Degree in Electronics (B.Eng.) and Engineering Physics (M.Sc.).

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CLAAS Company presentation1. Introduction

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CLAAS E SYSTEMS Company presentation1. Introduction

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1. Introduction

2. Motivation

3. Solution

4. Microsoft Azure DevOps

5. Use Cases

6. Conclusion

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2. Motivation

Have you experienced problems during integration of MATLAB Simulink models?

Are those people working at different locations, even countries?

Do you feel that your teams develop several times similar stuff, e.g. libraries?

Do you want to adopt agile methodologies?

Are your models complex?

Are there 10+ people working on the same model?

Who may be interested in this presentation

[1]

[2]

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[4]

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Best practices for modular mode design

Use model reference for unit-level models.

Pick a strategy for grouping units into features.

Avoid algorithmic content at the integration level.

Classify models according to safety requirements.

Use model metrics to monitor unit complexity.

Define the role of model architects and integrators.

2. Motivation

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[6]

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1. Introduction

2. Motivation

3. Solution

4. Microsoft Azure DevOps

5. Use Cases

6. Conclusion

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Taking the approach of other industries3. Solution

Do you know who I´m talking about?

So… why don’t we use some of their approaches?

SOFTWARE ENGINEERING

These problems are not new, there are a lot of engineers that have been struggling for years with them.

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1. Introduction

2. Motivation

3. Solution

4. Microsoft Azure DevOps

5. Use Cases

6. Conclusion

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Covering the entire application lifecycle with Microsoft Azure DevOps4. Microsoft Azure DevOps

It provides version control.

It provides reporting and requirements management.

It provides project management, for both agile software development and waterfall teams.

It provides automated build, testing and release management.

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Snapshots – Home page4. Microsoft Azure DevOps

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Snapshots – Git repositories4. Microsoft Azure DevOps

Files in the repository „Commits“ or history of

the model repository

Name of the repository

Name of the repository

Name of the repository

Responsible of the commit

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Snapshots – Knowledge base4. Microsoft Azure DevOps

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Putting your models in version control system

Restore previous versions.

Maintain properly our versions.

Understand all the time what is happening.

Encourage collaboration.

ALL OF THAT JUST BY INTEGRATING PROPERLY A VERSION CONTROL SYSTEM IN YOUR COMPANY

4. Microsoft Azure DevOps

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Faster development with appropriate git tool

As a command line tool With a git GUI Integrated

4. Microsoft Azure DevOps

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Developing models using the “git flow”4. Microsoft Azure DevOps

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Traceability out of the box

REQ: a function that calculatesmax of two values

Automatic creation of feature-branches for the model, important for almost automated release notes creation

4. Microsoft Azure DevOps

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1. Introduction

2. Motivation

3. Solution

4. Microsoft Azure DevOps

5. Use Cases

6. Conclusion

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Example of modular design with git submodules5. Use Cases

“Welding” for your interfaces “Nuts and bolts” for your interfaces[14] [15]

git repository

git submodule

git submodule

git submodule

git submodule

git submodule

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Externalization and reuse of model unitsTyre supplier company

OEM

Supplier company “A” OEM – Department “A”

OEM – Department “B”

Engine supplier company

5. Use Cases

git repository

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Development efforts based on safety requirements of model units

Non safety critical model unit

Safety critical model unit

1

5

1

5

3

2

4

5. Use Cases

git repository

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1. Introduction

2. Motivation

3. Solution

4. Microsoft Azure DevOps

5. Use Cases

6. Conclusion

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Where are we now at CLAAS

Departments that have developed a modelling process without git, are being trained and will adopt this methodologies in the near future.

Growing number of machine Simulink models are being built on top of git submodules.

Different departments are already working using this methodology.

6. Conclusion

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References6. Conclusion

[1] https://thenounproject.com/weltenraser/

[2] https://thenounproject.com/rshashank19/

[4] https://thenounproject.com/floicons/

[3] https://thenounproject.com/nhor/collection/global-business

[5] https://thenounproject.com/popcornartsgfx

[6] https://thenounproject.com/lastspark

[7] https://thenounproject.com/icondesign018

[8] https://thenounproject.com/victorulerz

[10] https://thenounproject.com/mirhashemihamed

[11] https://thenounproject.com/hatti27789service

[13] https://thenounproject.com/chatsudastock

[12] https://thenounproject.com/IconTrack/

[9] https://thenounproject.com/rshashank19/

[14] https://thenounproject.com/Flatart

[15] https://thenounproject.com/mnhendricks11

[17] https://thenounproject.com/coquet_adrien

[16] https://thenounproject.com/AlfredoCreates

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Thank you for your attention.

More information: ces-frontoffice@claas.com

wojciech.halabis@claas.com

think e-farming.