Optimizing dependencies in safety analysis models
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Typ | Masterarbeit |
|---|---|---|
| Aushang | 2. Masters SafetyAnalysisInterdependencies.pdf | |
| Betreuer | Wenden Sie sich bei Interesse oder Fragen bitte an: Muhammad Minhas (E-Mail: muhammad.minhas@kit.edu) |
Motivation
Improving the understanding of dependencies among different safety analysis models in the automotive domain can significantly enhance homologation efficiency, leading to faster time to market, reduced testing costs, and improved system safety. However, current processes often rely on manual configuration and optimization, which are prone to errors, inconsistencies, and lack of scalability. Developing an algorithm or methodology for identifying dependencies and optimizing their configuration can help streamline homologation processes, ensuring that safety analysis models work together seamlessly and effectively.
Tasks
- Investigate the relationships among different safety analysis models in the automotive domain (e.g., fault tree analysis, hazard analysis, simulation models).
- Develop an algorithm or methodology for identifying dependencies between models based on model input/output parameters.
- Analyze real-world case studies to validate the proposed dependency analysis method and identify potential improvements.
Tools/Technolog
- Eclipse Modeling Framework (EMF), Java, Graph Theory
Benefits
- Working with cutting-edge and innovative technologies
- Close connection to ongoing/current research project
- Excellent working environment and intensive support