Model Based Development

Efficiently develop reliable software systems:
with model-based development

Embedded systems are becoming increasingly complex and place high demands on quality assurance.
Systems designed with model-based techniques can be simulated early on in the development process. These models are used as a basis for further development activities such as testing and automatic code generation.

Our service portfolio

We advise you on and support you in introducing and implementing a model-based development process.

Planning and Concept – We support you in the introduction of model-based techniques using MATLAB®/Simulink®/Stateflow®
Operational support in development – Development and maintenance of function and implementation models
Model-based tests – Execution of module tests, integration tests and system tests at model level
Change to new versions of the modeling environment – Adaptation of established models to new versions of MATLAB®/Simulink®/Stateflow®

The advantages of model-based development

Efficiency and productivity: Thanks to the increased level of abstraction of the model-based approach, you can realise your ideas more quickly and increase the speed of your development cycle. This allows you to better manage the complexity of software projects, achieve a better understanding of objectives and problems and thus improve communication between all stakeholders. This improves productivity and reduces development effort.
Error detection: Recognise conceptual errors in the early stages of the development process and correct them before implementation.
Reusability: Functions can be reused in across different product development projects. This saves time and resources. Increase the reusability of software components by implementing modular concepts.
Traceability and quality: The use of model-based methods along the entire development process – from requirements to code – ultimately increases the quality of your products enabling early-stage analyses, validation and verification of your software.

Customer success stories

Processes and Methods

Process models for the software development for vehicle dynamic control systems and telematics systems
Innovative test methods in the context of model-based development of automotive control unit software
Modeling guidelines in MATLAB/Simulink for modeling the function software of automotive control units

Modeling

Modeling the architecture of a heart support system with UML and Enterprise Architect
Modeling the software functions of an inverter for solar systems with UML and Enterprise Architect