Developing self-adaptive automotive systems

Abstract

Future Driving Assistance Systems (DAS) will have to react to changes within the system at runtime. This might be the case in Car-to-X systems where the availability of communication partners changes dynamically. Another example are systems like DAS for truck and trailer combinations where a trailer might be disconnected and replaced by another one several times a day. State-of-the-art DAS are not capable of handling these runtime changes. In our approach we make usage of the principles of Service-orientation to generate self-adaptive DAS on architectural level. But this technical approach requires the definition of a development process that fits into the practices within the automotive industry. This paper introduces SOMA4DDAS, a model-based development process based on the UML profile SoaML. SOMA4DDAS describes a tri-phase procedure to transfer an idea for a DAS into a detailed specification of the application and the Services involved. These phases are integrated into the "core process for system and software development" (CPSSD), a standard process within the automotive industry. The paper illustrates the benefits of this approach by developing a truck and trailer DAS consisting of 13 different Services.

Document type: Article

Full document

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1007/s10617-013-9124-3 under the license https://creativecommons.org/licenses/by

• https://link.springer.com/content/pdf/10.1007%2Fs10617-013-9124-3.pdf

• http://link.springer.com/content/pdf/10.1007/s10617-013-9124-3.pdf,

http://link.springer.com/article/10.1007/s10617-013-9124-3/fulltext.html,

http://link.springer.com/content/pdf/10.1007/s10617-013-9124-3,

http://dx.doi.org/10.1007/s10617-013-9124-3 under the license cc-by

• https://link.springer.com/article/10.1007/s10617-013-9124-3,

https://core.ac.uk/display/81535091,

https://paperity.org/p/36274548/developing-self-adaptive-automotive-systems,

https://dblp.uni-trier.de/db/journals/dafes/dafes18.html#WagnerMZ14,

https://dl.acm.org/citation.cfm?id=2795490,

https://academic.microsoft.com/#/detail/1847367865 under the license http://creativecommons.org/licenses/by/2.0