ATRIUM — Architecting under uncertainty: For ISO 26262 compliance

Mohan, Naveen; Roos, Per; Svahn, Johan; Törngren, Martin; Behere, Sagar

doi:10.1109/syscon.2017.7934819

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…We have used the platform to test some of the functional requirements derived from the PAA described in our work in [18] and refine them. In addition, it was possible to validate the assumptions behind some design decisions such as the needed field of view of certain sensors.…”

Section: Case Studymentioning

confidence: 99%

AD-EYE: A Co-Simulation Platform for Early Verification of Functional Safety Concepts

Mohan¹,

Törngren²

2019

SAE Technical Paper Series

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Automated Driving is revolutionizing many of the traditional ways of operation in the automotive industry. The impact on safety engineering of automotive functions is arguably one of the most important changes. There has been a need to re-think the impact of the partial or complete absence of the human driver (in terms of a supervisory entity) in not only newly developed functions but also in the qualification of the use of legacy functions in new contexts. The scope of the variety of scenarios that a vehicle may encounter even within a constrained Operational Design Domain, and the highly dynamic nature of Automated Driving, mean that new methods such as simulation can greatly aid the process of safety engineering. This paper discusses the need for early verification of the Functional Safety Concepts (FSCs), details the information typically available at this stage in the product lifecycle, and proposes a co-simulation platform named AD-EYE designed for exploiting the possibilities in an industrial context by evaluating design decisions and refining Functional Safety Requirements based on a reusable scenario database.Leveraging our prior experiences in developing FSCs for Automated Driving functions, and the preliminary implementation of co-simulation platform, we demonstrate the advantages and identify the limitations of using simulations for refinement and early FSC verification using examples of types of requirements that could benefit from our methodology.

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Section: Case Studymentioning

confidence: 99%

AD-EYE: A Co-Simulation Platform for Early Verification of Functional Safety Concepts

Mohan¹,

Törngren²

2019

SAE Technical Paper Series

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“…RA scenarios by nature often involve changes to the hardware topology to such a degree that a lot of uncertainty and many options arise, for the architects to deal with. The functional requirements may also naturally be unclear when the RA involves new functionality [41]. Thus detailed information that most DSE methods need, like the execution time of a task, is mostly not available in RA scenarios.…”

Section: A Architecting Scenariosmentioning

confidence: 99%

“…According to the interviews and [41], one of the biggest challenges confronted by the architects is uncertainty. However, this is not addressed by almost all the studied DSE methods.…”

Section: B Summary Of Findingsmentioning

confidence: 99%

Architecture exploration for distributed embedded systems: a gap analysis in automotive domain

Zhang

Mohan

Törngren

et al. 2017

2017 12th IEEE International Symposium on Industrial Embedded Systems (SIES)

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A large body of work can be found in literature on Design Space Exploration (DSE) methods for distributed embedded system architecting (DESA). However, almost none of these methods is successfully adopted in automotive industry. To clarify the reasons, this paper 1) analyzes the current state of the art (SOTA) on DSE methods for DESA through a systematic literature study, focusing on the assumed architecting process and concerns; 2) investigates the state of practice (SOP) on DESA in the automotive industry through a literature study and interviews with experienced system architects from five different automotive manufacturers; and 3) analyzes the gap between SOTA and SOP, and thereby discusses potential improvements of DSE methods.

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Complexity Challenges in Development of Cyber-Physical Systems

Törngren

Sellgren

2018

Lecture Notes in Computer Science

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In embarking towards Cyber-Physical Systems (CPS) with unprecedented capabilities it becomes essential to improve our understanding of CPS complexity and how we can deal with it. We investigate facets of CPS complexity and the limitations of Collaborating Information Processing Systems (CIPS) in dealing with those facets. By CIPS we refer to teams of humans and computer-aided engineering systems that are used to develop CPS. Furthermore, we specifically analyze characteristic differences among software and physical parts within CPS. The analysis indicates that it will no longer be possible to rely only on architectures and skilled people, or process and model/tool centered approaches. The tight integration of heterogeneous physical, cyber, CPS components, aspects and systems, results in a situation with interfaces and interrelations everywhere, each requiring explicit consideration. The role of modelbased and computer aided engineering will become even more essential, and design methodologies will need to deeply consider interwoven systems and software aspects, including the hidden costs of software.

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ATRIUM — Architecting under uncertainty: For ISO 26262 compliance

Cited by 4 publications

References 14 publications

AD-EYE: A Co-Simulation Platform for Early Verification of Functional Safety Concepts

AD-EYE: A Co-Simulation Platform for Early Verification of Functional Safety Concepts

Architecture exploration for distributed embedded systems: a gap analysis in automotive domain

Complexity Challenges in Development of Cyber-Physical Systems

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