Towards Benchmarking of Functional Safety in the Automotive Industry
Paper in proceeding, 2013
Functional safety is becoming increasingly important in the automo- tive industry to deal with the growing reliance on the electrical and/or electronic (E/E) systems and the associated complexities. The introduction of ISO 26262, a new standard for functional safety in road vehicles, has made it even more important to adopt a systematic approach of evaluating functional safety. How- ever, standard assessment methods of benchmarking functional safety of automotive systems are not available as of today. This is where the BeSafe (Benchmarking of Functional Safety) project comes into the picture. BeSafe project aims to lay the foundation for benchmarking functional safety of auto- motive E/E systems. In this paper, we present a brief overview of the project along with the benchmark targets that we have identified as relevant for the automotive industry, assuming three abstraction layers (model, software, hard- ware). We then define and discuss a set of benchmark measures. Next, we pro- pose a benchmark framework encompassing fault/error models, methods and the required tool support. This paper primarily focuses on functional safety benchmarking from the Safety Element out of Context (SEooC) viewpoint. Fi- nally, we present some preliminary results and highlight potential future works.
Fault Tolerance
Safety Element out of Context (SEooC).
Benchmarking
Fault Injection
Robustness
Functional Safety
Author
Mafijul Islam
Volvo Group
Behrooz Sangchoolie
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Fatemeh Ayatolahi
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Daniel Skarin
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Jonny Vinter
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Fredrik Törner
Volvo Cars
Andreas Käck
Mattias Nyberg
Scania CV AB
Emilia Villani
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Johan Haraldsson
Volvo Group
Patrik Isaksson
Volvo Group
Johan Karlsson
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
03029743 (ISSN) 16113349 (eISSN)
Vol. 7869 LNCS 111 - 125978-364238788-3 (ISBN)
Subject Categories
Computer Engineering
Computer Science
DOI
10.1007/978-3-642-38789-0_10
ISBN
978-364238788-3