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Modelling multi-criticality vehicular software systems: evolution of an industrial component model

Publication Type:

Journal article

Venue:

International Journal on Software and Systems Modeling

Publisher:

Springer


Abstract

Software in modern vehicles consists of multi-criticality functions, where a function can be safety-critical with stringent real-time requirements, less critical from the vehicle operation perspective, but still with real-time requirements, or not critical at all. Next-generation autonomous vehicles will require higher computational power to run multi-criticality functions and such a power can only be provided by parallel computing platforms such as multi-core architectures. However, current model-based software development solutions and related modelling languages have not been designed to effectively deal with challenges specific of multi-core, such as core-interdependency and controlled allocation of software to hardware.In this paper, we report on the evolution of the Rubus Component Model for the modelling, analysis, and development of vehicular software-systems with multi-criticality for deployment on multi-core platforms. Our goal is to provide a lightweight and technology-preserving transition from model-based software development for single-core to multi-core. This is achieved by evolving the Rubus Component Model to capture explicit concepts for multi-core and parallel hardware and for expressing variable criticality of software functions. The paper illustrates these contributions through an industrial application in the vehicular domain.

Bibtex

@article{Bucaioni5787,
author = {Alessio Bucaioni and Saad Mubeen and Federico Ciccozzi and Antonio Cicchetti and Mikael Sj{\"o}din},
title = {Modelling multi-criticality vehicular software systems: evolution of an industrial component model},
month = {June},
year = {2020},
journal = {International Journal on Software and Systems Modeling},
publisher = {Springer},
url = {http://www.es.mdh.se/publications/5787-}
}