A Data-driven framework for modelling and visualizing functions of software-based vehicles
- Type:Bachelor Thesis
- Date:01.09.2025 - 02.03.2026
- Supervisor:
Manuel Götz
Prof. Sanja Lazarova-Molnar
- Person in Charge:Philip Klusek
- Add on:
Ongoing
Description
Problem:
The embedded software in modern vehicles is becoming increasingly complex:
- A growing number of interconnected software functions.
- High coupling and dependencies between functions, signals, and hardware components.
- Limited transparency for engineers and stakeholders, making it hard to understand, verify, and evolve the system.
Goal:
Develop a data-driven framework to model, visualize, and simulate vehicle software functions:
- Extract and visualize software functions based on component signals.
- Enable simulation or “what-if” analysis to support design decisions, debugging, and impact analysis.
Required Skills and Knowledge:
- Process Mining
- Machine learning
- Software development