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Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

Paper i proceeding
Författare F. Giaimo
Christian Berger
Publicerad i 2017 Ieee International Conference on Software Architecture (Icsa 2017)
ISBN 978-1-5090-5729-0
Förlag IEEE
Förlagsort New York
Publiceringsår 2017
Publicerad vid Institutionen för data- och informationsteknik (GU)
Språk en
Länkar dx.doi.org/10.1109/icsa.2017.36
Ämnesord Automotive application, Autonomous automobiles, Intelligent vehicles, Cyber-physical systems
Ämneskategorier Programvaruteknik, Transportteknik och logistik

Sammanfattning

The software powering today's vehicles surpasses mechatronics as the dominating engineering challenge due to its fast evolving and innovative nature. In addition, the software and system architecture for upcoming vehicles with automated driving functionality is already processing similar to 750MB/s - corresponding to over 180 simultaneous 4K-video streams from popular video-on-demand services. Hence, self-driving cars will run so much software to resemble "small data centers on wheels" rather than just transportation vehicles. Continuous Integration, Deployment, and Experimentation have been successfully adopted for software-only products as enabling methodology for feedback-based software development. For example, a popular search engine conducts similar to 250 experiments each day to improve the software based on its users' behavior. This work investigates design criteria for the software architecture and the corresponding software development and deployment process for complex cyber-physical systems, with the goal of enabling Continuous Experimentation as a way to achieve continuous software evolution. Our research involved reviewing related literature on the topic to extract relevant design requirements. The study is concluded by describing the software development and deployment process and software architecture adopted by our self-driving vehicle laboratory, both based on the extracted criteria.

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