Theses

The overall goal of this thesis is the development and implementation of a concept for evaluating automotive IoT Cloud platforms regarding scalabaility. This includes the simulation of traffic data of different granularities via appropriate frameworks such as Eclipse SUMO. In addition, the simulated data have to be transformed into a suitable IoT data format and a component has to be developed that allows to send these data to the Cloud based on the MQTT protocol.

The automotive industry permanently faces new challenges stemming from new environmental laws, safety aspects, and demand for more drivers and passengers comfort in new vehicles. Most of all innovations in these fields are driven by software. Therefore, automotive software engineering has to deal with several key issues that need to be solved. In order to validate the processes, methods, and tools that are developed to support engineers in coping with these issues, a proper demonstrator is highly required.

The overall goal of this thesis is to extend the APP4MC-rover by advanced driver assistance systems (ADAS), e.g.:

• automatic parking, forward collision warning, cruise control
• Lane departure warning system, Lane change assistance
• Traffic sign recognition

The automotive industry permanently faces new challenges stemming from new environmental laws, safety aspects, and demand for more drivers and passengers comfort in new vehicles. Most of all innovations in thesefields are driven by software. Therefore, automotive software engineering has to deal with several key issues that need to be solved.

The overall goal of this thesis is to develop and implement an eclipse plugin for analyzing and visualizing the communication behavior of automotive applications. These applications will be provided in terms of APP4MC models.

AMALTHEA is an open and standardized EMF model for automotive systems that comes with the Eclipse APP4MC platform. Constraint Programming (CP) is a paradigm to model and solve computational problems and has been applied to AI approaches and a variety of scientific and industrial applications.

The goal of this work will be utilizing the full potential of CP using choco for AMALTHEA whilst comparing results with GA, HGA, ILP or others and investigating the software distribution process on higher levels such as functional units.

This thesis’ work will address the investigation of memory latencies, contention effects, and memory mapping under different communication paradigms such as implicit, explicit, or LET communication. Furthermore, state of the art industrial development, such as domain centralized E/E architectures and sophisticated hardware heterogeneities, should be in focus of this thesis.  Therefore, analysis models should be formed that adequately assess determinism and real-time predictability for high-performance systems and overcome the pessimism and / or complexity of existing solutions