In the past two decades, the automotive industry established its own dedicated SW engineering approach, especially for control algorithm based, deeply embedded SW. This approach is based on well-defined SW requirements specifications often taking into account dedicated hardware designs, whereby both are largely fixed at start of development. With the recent developments in the automated driving domain, the industry faces new challenges arising with the introduction of μ Processor based control units and data driven algorithms. In this paper, we describe a new approach in the domain of automated driving for
Efficient utilization of high computing performance
Managing the complexity of the software design
Re-Use of SW from different sources
Reaching functional safety goals
Efficient and fast development cycles
Efficient simulation-based validation of the system
Building the bridge between automotive SW engineering and DevOps approaches for automated driving SW development
Proceedings
2021-09-16
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Deutsch
Implementing modern DevOps development environment for training : Case: N4SJAMK
BASE | 2017
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