MXAM in Action

Best Practices for Modeling Guidelines and Architectural Design Principles

Training

This training class will introduce you to fundamental aspects of working with modeling guidelines and to the static model analysis of MATLAB Simulink/Stateflow, TargetLink, and Embedded Coder models. Furthermore, you will learn how to create MISRA and ISO 26262-compliant models using proven modeling standards and best practices.

The spotlight will be placed on how you can best integrate the MES Model Examiner (MXAM) into your process. Via several hands-on sessions, you will have the chance to practice reliably deploying guidelines with MXAM and ensure guideline compliance. Participants will discover a good workflow for analyzing and correcting models, justifying deviations in preparation for a review, as well as adapting and integrating MXAM into user-specified development environments. What's more, you will find out how to perform a structure and complexity analysis of a model. The resulting metrics serve as the basis for assessing the architecture, complexity, and size of a model.

Price on Request
2 days
English or German
Online or on-site

Target Audience

This training class is targeted at anyone who wants to learn how to use the MES Model Examiner (MXAM) professionally. The class is for function developers, testers, test managers, and quality managers who focus on model-based development of embedded software based on MATLAB/Simulink and related to Embedded Coder/TargetLink. Share your experiences and discuss with other tool users.

Highlights

  • Presentation of proven modeling guidelines
  • Automated guideline checking and correction with MXAM
  • Review of guideline violations and accounting for discrepancies
  • Creating custom guideline documents in MXAM
  • Toolchain and continuous integration
  • Assessing architectural design principles
  • Complexity analysis of models

Agenda

Day 1

  • Architectural design principles in model-based design
  • Model quality through static guideline checking
  • The purpose of guidelines and metrics
  • Standard guideline documents
  • General workflow
  • Structure and use of the user interface
  • Reporting: overview, result navigation, model linking, auto repair, re-run, annotations, and export
  • Performing guideline analyses
  • Repairing guideline violations
  • Justifying guideline violations
  • Saving and exporting reports
  • Model structure analysis
  • Introduction to complexity metrics
  • Calculating model complexity
  • Measures to reduce model complexity
  • Identification of ineffective interfaces and model clones
  • Analyzing and evaluating model metrics
  • Identifying complex subsystems, ineffective interfaces, and clones
  • Refactoring of model structure
  • Selected guidelines for Simulink, Stateflow, and TargetLink with topics such as layout, naming conventions, dataflow, typing, and scaling
  • Performing analyses of a demo model with the starter set in MXAM
  • Evaluating and discussing specific findings

Day 2

  • Creating a project with all analysis-relevant settings
  • Creating a guideline document to define a set of guidelines
  • Configuring global and check parameters for a customer-specific guideline analysis
  • Creating an ignore-list to disregard model elements
  • Creating and configuring MXAM projects, ignore lists, and guideline documents
  • Setting up projects for distributed development: reporting, annotations, artifacts
  • Creating a user-defined guideline document: authoring, versioning, and central repository in library
  • Creating custom libraries
  • Creating custom guidelines
  • ISO 26262 requirements that can be covered with modeling guidelines
  • Other aspects: observance of ranges, compatibility of interfaces, etc.
  • Performing analyses of demo or customer models with an extended set
  • Evaluating and discussing specific findings
  • Exporting the current project settings into a MATLAB batch script
  • Executing batch analyses via the MATLAB command line
  • Various interfaces for continuous integration
  • Performing analyses with the MES Jenkins Plugin
  • Hook functions to customize the analysis
  • Creating, adjusting, and running MATLAB batch analyses for automated execution
  • Integrating hook functions to meet toolchain-specific requirements

Customer Opinion

Participant from Marquardt India

The training was very helpful for analyzing the models and that helped to implement and adopt different modeling guidelines.

Participant from Volkswagen

The trainers are a well-established team with a lot of expertise. It was a pleasure to listen and participate and the training encourages you to improve your own modeling continuously.

Our Trainers

Sophia Kohle
Sophia Kohle
Sophia Kohle
Managing Director
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Dr. Simon Rösel
Dr. Simon Rösel
Dr. Simon Rösel
Product Owner MXAM
More Info
Melina Simichanidou
Melina Simichanidou
Melina Simichanidou
Software Engineer
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You Have Questions?

Prof. Dr. Mirko Conrad and Björn Kunze
Prof. Dr. Mirko Conrad & Björn Kunze
tudoor academy

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