Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

The goal of this paper is to design a functional software architecture for fully autonomous
vehicles. Existing literature takes a descriptive approach and presents past experiments with …

Software developers in big and medium-size companies are working with millions of lines of
code in their codebases. Assuring the quality of this code has shifted from simple defect …

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry, However, based on well over a dozen case studies, we have learned that …

With an increasing degree of automation, automated vehicle systems become more complex
in terms of functional components as well as interconnected hardware and software …

Zusammenfassung Der Entwurf und die Entwicklung von automatisierten Fahrzeugen sind
interdisziplinäre Prozesse. Gleichzeitig sind die zu realisierenden Systeme hochkomplex …

1.1 Background Automotive software engineering applies software engineering approaches
to the development of automotive software and electronics systems [37, 166,185,208]. This …

This book presents state-of-the-art technologies and future trends of automotive systems and
software engineering. Fifteen chapters cover all important aspects of the field, such as …

We describe an approach for the analysis of SysMLv2 models. The analysis computes
possible ranges of parameters during early system development in order to support the …

Continuous experimentation (CE) refers to a group of practices used by software companies
to rapidly assess the usage, value and performance of deployed software using data …