Emerging COTS-Based Computing Platforms in Avionics Need a New Assurance Concept

Forsberg, Håkan; Schwierz, Andreas

doi:10.1109/dasc43569.2019.9081668

Cited by 5 publications

(8 citation statements)

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“…The suggested approach for new architectures and other new COTS technologies are instead an argumentative approach allowing for flexibility to use more appropriate methods and also directly show how these methods contribute to meeting the assurance objectives [2]. One such approach could be based on assurance cases.…”

Section: 3384/ecp19162015mentioning

confidence: 99%

“…An assurance case is a structured argument, backed-up with evidence, that a system operates as intended for a defined application in a defined environment [7]. In [1] we demonstrated the use of an assurance case to structure COTS hardware components' assurance for safetycritical avionics and in [2] we refined our work and introduced a five-step process (see Section 2.3 in this paper) to provide a concept to connect the demonstration of assurance objectives. The use of assurance cases is in line with FAA's process to streamline the certification process by delivering an approach (Overarching Properties) usable for both software and hardware development to ease the use of alternative means of compliance [8].…”

Section: 3384/ecp19162015mentioning

confidence: 99%

“…In the framework of assurance cases, assurance refers to the proven confidence that a top-level claim of an argument is true [2]. Figure 1 shows a graphical presentation of an assurance case.…”

Section: Cots Assurance Case Conceptmentioning

confidence: 99%

“…One of them is assurance cases address modern certification challenges. In [2] we interpreted all described benefits from Rinehart and Knight in the context of emerging computing platforms. Berthon [11] has used a structured assurance case for COTS AEH.…”

Section: Figure 1 a Graphical Presentation Of An Assurance Case Thementioning

confidence: 99%

“…The guidance material also assumes that the component may exhibit performance variations over production time and may completely lack empirical data on the actual failure rates experienced in avionics applications. To cope with all these uncertainties, the guidance material explicitly assumes several low-level activities to be performed for all kinds of GPU devices [2]. Guidance on activity level is not suitable for new hardware technologies.…”

Section: Introductionmentioning

confidence: 99%

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Assurance Strategy for New Computing Platforms in Safety-Critical Avionics

Forsberg

Schwierz

Lundqvist

2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

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An assurance strategy for new computing platforms in safety-critical avionics has to be flexible and take into account different types of commercial-of-the-shelf (COTS) hardware technologies. Completely new COTS technologies are already being introduced and successfully used in other domains. Good examples are heterogeneous platforms, hardware-based machine learning and approximate computing. Current avionics certification guidance material cannot cope with next generation of devices. We suggest using the generic assurance approach of the Overarching Properties (OPs) together with assurance cases to argument that COTS assurance objectives are met and to achieve the flexibility required for future computing platforms. We introduce a novel assurance cased-based OP approach in [1] and refine the work into a framework in [2]. Within this framework we are able to integrate COTS technology specific assurance objectives using a five-step process. In this paper, we show through some representative examples of emerging computing platforms that our strategy is a way forward for new platforms in safety-critical avionics.

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Section: 3384/ecp19162015mentioning

confidence: 99%

Section: 3384/ecp19162015mentioning

confidence: 99%

Section: Cots Assurance Case Conceptmentioning

confidence: 99%

Section: Figure 1 a Graphical Presentation Of An Assurance Case Thementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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