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Considerations About Continuous Experimentation for Resource-Constrained Platforms in Self-driving Vehicles

Paper i proceeding
Författare Federico Giaimo
Christian Berger
Crispin Kirchner
Publicerad i Software Architecture. ECSA 2017. Lecture Notes in Computer Science, vol 10475
ISBN 978-3-319-65831-5
Förlag Springer, Cham
Publiceringsår 2017
Publicerad vid Institutionen för data- och informationsteknik (GU)
Språk en
Länkar https://link.springer.com/chapter/1...
Ämnesord Software architecture for cyber-physical systems · Continuous experimentation · Software evolution · Middleware
Ämneskategorier Programvaruteknik

Sammanfattning

Autonomous vehicles are slowly becoming reality thanks to the efforts of many academic and industrial organizations. Due to the complexity of the software powering these systems and the dynamicity of the development processes, an architectural solution capable of supporting long-term evolution and maintenance is required. Continuous Experimentation (CE) is an already increasingly adopted practice in software-intensive web-based software systems to steadily improve them over time. CE allows organizations to steer the development efforts by basing decisions on data collected about the system in its field of application. Despite the advantages of Continuous Experimentation, this practice is only rarely adopted in cyber-physical systems and in the automotive domain. Reasons for this include the strict safety constraints and the computational capabilities needed from the target systems. In this work, a concept for using Continuous Experimentation for resource-constrained platforms like a self-driving vehicle is outlined.

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