Research and development that creates knowledge

By engaging in research and development projects, we expand our knowledge, contribute to the scientific discourse and gain new insights and inspirations that advance our mission – To create solutions for the unique challenges of developing embedded Software. Our work has been repeatedly honoured by the foundation Stifterverband für die Deutsche Wissenschaft. The acquired knowledge and scientific results directly benefit our customers by optimizing the quality of our products and services.

Current research projects

 

medCS.5

The project medCS.5 aims to analyze the security of patient data and the resilience of 5G infrastructures in the medical sector, to identify potential threats and to formulate recommendations for the security, design and operation of such networks.

www.medcs5.de

 

POC4LC

The goal of the project is to develop a stable and flexible point-of-care liquid chromatography system that is capable of performing reliable analyses of essential components of complex substance mixtures by recording and evaluating chromatograms. As a result, a cost-effective point-of-care capable device can be developed and used as an alternative to expensive stationary HPLC systems.

Completed research projects

  • Reactive tests with ContinoProva
    Extension of the test framework ContinoProva with the possibility to integrate environment models and different diagram types like e.g. Model of the Unified Modeling Language (UML) and Stateflow models from MATLAB / Simulink
  • Visual damages
    Computer-aided visual methods for detecting material damage at photovoltaic systems
  • RobuTest
    Automatic evaluation from robustness tests of embedded software in medical technology systems
  • SPES 2020
    Software Platform Embedded Systems 2020                    (http://spes2020.informatik.tu-muenchen.de/spes-home.html)
  • MOBIMUNN
    Development of a low-cost detection system for the identification of microorganisms and allergens
  • SolarInspec
    On-the-fly quality assurance of photovoltaic modules through automated identification of malfunctioning modules by thermal imaging as well as scheduling of maintenance operations.
  • EmbeddedSafeSec
    Development of process models and an integrated methodology to ensure safety and security in the development of critical embedded systems.
  • KI-LOK
    Research and development of a tool-based methodology for the validation of AI-supported components in railroad technology

 

  • Universal HiL
    Development of a universally usable HiL environment
  • TEMEA
    Test specification technology and methodology for embedded real-time systems in the automobile
  • ContinoProva
    Framework for automatically testing embedded systems (www.continoprova.de, Innovation catalog of BMWi)
  • Development of a model debugger for the modeling tool Simulink/Stateflow
    Research and development of methods for the automatic verification of temporal signal dependencies and features
  • IMMOS
    Integrated methodology for model-based controller development
  • ATESvar
    Development and technical implementation of a concept for an automatic test design of multi-variant systems based on UML models that are combined with feature models
  • PoC4Vet
    Development of a mobile device used in veterinary medicine for the detection of Leptospira bacteria.
  • DeepTest
    Design, implementation and evaluation of test procedures for embedded systems using machine learning methods for test input generation and test evaluation.
  • OTS4CI
    Development and optimization of AI systems with reinforcement learning (RL) for the appropriate prioritization of executable tests.