Welcome to SEFAIAS 2018 @ ICSE 2018

Products with embedded software have been around for many years. Most of these conventional embedded software products are built using rule-based control engineering approaches. The corresponding software engineering practices are mature and well understood. For autonomous systems, however, the conventional control engineering approaches are extended by modern artificial intelligence techniques, in particular machine learning. The corresponding product software engineering approaches are less well understood and need attention.

The goal of this workshop is to better understand the impact of incorporating machine learning algorithms in autonomous systems from the software engineering perspective and the implications on system properties such as quality, maintainability, scalability, robustness, safety, security, etc.

This workshop focuses on software engineering and software architecture approaches that achieve the typical software engineering goals for systems that are built using a combination of conventional embedded software development and AI.