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Optimal Traceability for IMA System-of-Systems
Technical Paper
2012-01-2141
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Traceability has always been considered a useful but costly activity and different methods have been applied to reduce this cost. The current paper constitutes an attempt to improve these methods by introducing an optimal traceability process to be used in the context of RTCA DO-297 “Integrated Modular Avionics (IMA) Development Guidance and Certification Considerations”.
The paper starts by comparing the definitions of traceability from DO-297 and the related development guidelines (i.e. ARP4754A, DO-254 and DO-178B). The paper continues by classifying the traceability methods recommended by the guidelines and introducing a performance criterion for optimal traceability based on category theory. This criterion addresses the possibility of information loss present in the current traceability methods. The paper proposes an optimal traceability process (i.e. that guarantees that information is not lost) and exemplifies it. The paper ends by recommending further enhancements.
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Citation
Canciu, V. and Canciu, A., "Optimal Traceability for IMA System-of-Systems," SAE Technical Paper 2012-01-2141, 2012, https://doi.org/10.4271/2012-01-2141.Also In
References
- RTCA Inc. “Integrated Modular Avionics (IMA) Development Guidance and Certification Considerations” RTCA DO-297 Nov. 2005
- SAE International Aerospace Recommended Practice “Guidelines for Development of Civil Aircraft and Systems,” SAE Standard ARP4754A Dec. 2010
- RTCA Inc. “Design Assurance Guidance for Airborne Electronic Hardware” RTCA DO-254 Apr. 2000
- RTCA Inc. “Software Considerations in Airborne Systems and Equipment Certification” RTCA DO-178C Dec. 2011
- Simmons, H. “An Introduction to Category Theory” Cambridge University Press 978-0-521-28304-5 2011
- Strom, J. “Modern Classical Homotopy Theory” American Mathematical Society 978-0-8218-5286-6
- INCOSE “Systems Engineering Vision 2020” http://www.incose.org/ProductsPubs/pdf/SEVision2020_20071003_v2_03.pdf Sep. 2007