Querying Automotive System Models and Safety Artifacts: Tool Support and Case Study

Authors

Alessio Di Sandro^*, , Sahar Kokaly, Rick Salay, Marsha Chechik

Department of Computer Science, University of Toronto, 10 King's College Road, Toronto, ON M5S 3G4, Canada

^*Corresponding author. Email: adisandro@cs.toronto.edu

DOI

10.2991/jase.d.200912.001How to use a DOI?

Keywords

Megamodels; Queries; Safety cases; Automotive

Abstract

The automotive domain has recently increased its reliance on model-based software development. Automotive models are often heterogeneous, large and interconnected through traceability links. When introducing safety-related artifacts, such as Hazard Analysis, fault tree analysis (FTA), failure modes and effects analysis (FMEA) and safety cases, querying these collections of system models and safety artifacts becomes a complex activity. In this paper, we define generic requirements for querying megamodels and demonstrate how to run queries in our Model Management INTeractive (MMINT) framework using the Viatra query engine. We apply our querying approach to a vehicle's Lane Management System case study through the process of its creation and maintenance, perform a comparison with an Object Constraint Language (OCL)-based approach and show how queries can help achieve compliance with the ISO 26262 standard.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Alessio Di Sandro
AU  - Sahar Kokaly
AU  - Rick Salay
AU  - Marsha Chechik
PY  - 2020
DA  - 2020/09/23
TI  - Querying Automotive System Models and Safety Artifacts: Tool Support and Case Study
JO  - Journal of Automotive Software Engineering
SP  - 34
EP  - 50
VL  - 1
IS  - 1
SN  - 2589-2258
UR  - https://doi.org/10.2991/jase.d.200912.001
DO  - 10.2991/jase.d.200912.001
ID  - DiSandro2020
ER  -