With the advent of software and electronics, automotive companies are enabling innovation to improve safety, security, driver experience, and driving automation. Moreover, the complexity and size of software keep growing because of future innovations, such as adaptive cruise control, lane keeping, self-learning algorithms, etc, which all leads to the ultimate goal of autonomous driving. Consequently, increasing use of software over the years, introduced the paradigm shift by requiring automotive companies to develop their systems using architecture and model-based techniques. Although model-based techniques using e.g. MATLAB/Simulink and Stateflow are being accepted in the automotive industry as standard languages and tooling for developing automotive control software, the techniques for system and software architecture are still far from being widely accepted. This is excluding the AUTOSAR standard, which defines the language for designing and configuring automotive software architectures and identifies major architectural components of automotive systems.

The goal of this workshop is to address issues related to the appropriate automotive system/software architecture and engineering techniques, which can be accepted by the automotive industry. Therefore, to bring together researchers and practitioners in the area of automotive system/software architecture and engineering, the international Workshop on Automotive Software Architectures (WASA) is being organized with the International Conference on Software Architecture (ICSA), the premier gathering of software architecture and component-based software engineering practitioners and researchers

Topics of interest include, but are not limited to:

* Automotive system/software architecture (Architecture description languages, experiences of applying AUTOSAR standard, integration of software and hardware components, communication infrastructures etc.)
* Automotive architecture design patterns
* Automotive software quality, safety, security
* Automotive component-based software engineering
* Model-based automotive software development and systems engineering
* Verification and validation techniques in the automotive domain
* Architecture and design of connected transport systems (autonomous vehicles and smart road infrastructure)
* Automotive software engineering and reverse engineering techniques
* Software engineering techniques for autonomous driving and cooperative vehicles (processing big data generated from all the sensors in the autonomous driving cars, etc.)
* Software engineering techniques for hybrid and fully electric vehicles
* Software engineering techniques for safety assurance and assessment
* Compliance management of standards or regulations
* Novel software engineering approaches in automotive software engineering (e.g. continuous integration, software ecosystems)