Software Engineering for Automotive Systems

In the past decades, a steadily increasing amount of automotive functions was enabled only by the use of software. Silently, we have already surpassed the point that today, we need to understand vehicles as “data centers on wheels” where several tens of complex, interconnected embedded computing systems enable a ”software-defined vehicle” (SDV) that is nearly always connected to an automotive cloud environment.

Software Engineering for Automotive Systems does not only deal with the software inside the product, but more importantly in all phases of a automotive system’s life-cycle: (A) During the development to design and realize in a data-driven way increasingly complex automotive software systems, (B) after the vehicle has left the factory to diagnose essential vehicle functions in the field to improve the next generation of automotive functions, and (C) after sales to continuously provide an improved customer experience by safely rolling out additional software-powered automotive functions that for automotive OEMs and its supplier industry represent a growingly important business opportunity.

The recent rise of AI assistants like ChatGPT that base on large language models (LLMs) enables a whole new perspective on the way how even complex, safety-critical software that powers today’s software-defined vehicles can be realized in a systematic, safe, yet accelerated way to meet continuously changing market needs.

Our research team behind Software Engineering for Automotive Systems is providing decades-long, world-renowned expertise for the entire automotive value chain with key expertise in topic areas such as:

Research areas

• Software-Defined Vehicles and Automotive Software Architectures
• Cloud-native Software Development for Automotive Systems
• AI-Assistent Software Engineering for Automotive Systems
• Cloud-supported Life-Cycle Management for Automotive Systems
• Software Engineering for Chalmers Resource for Vehicle Research (REVERE) lab