Model-driven engineering to ensure automotive embedded software safety. Methodological proposal and case study

Autor: Yandika Sirgabsou, Claude Baron, Laurent Pahun, Philippe Esteban
Přispěvatelé: Équipe Ingénierie Système et Intégration (LAAS-ISI), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT), Renault Software Lab, Université Toulouse III - Paul Sabatier (UT3)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Computers in Industry
Computers in Industry, 2022, 2022-02, 138, pp.103636. ⟨10.1016/j.compind.2022.103636⟩
ISSN: 0166-3615
DOI: 10.1016/j.compind.2022.103636⟩
Popis: International audience; The development of driver assistance and autonomous driving systems for vehicles has started to revolutionize the transportation sector, offering comfort and safety. While significant technological progress has already been made in this area, the road ahead is littered with many challenges. Among these challenges, ensuring driver safety has become even more critical due to the increasing use of complex, communicating and reconfigurable embedded software. Current approaches to document-based safety analysis have reached their limit and the time has come to rethink them. To this end, we propose to rely on modeldriven engineering to conduct safety analyses. This paper makes a methodological proposal that improves current practices in terms of time, analysis quality and reusability, and that has been validated on the study of an automotive software component.
Databáze: OpenAIRE
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