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http://dx.doi.org/10.5762/KAIS.2016.17.9.308

Detection of Functional Failure and Verification of Safety Requirements Using Meta-Models in the Model-Based Design of Safety-Critical Systems  

Kim, Young-Hyun (Dept. of Systems Engineering, Ajou University)
Lee, Jae-Chon (Dept. of Systems Engineering, Ajou University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.9, 2016 , pp. 308-313 More about this Journal
Abstract
Modern systems have become more and more complex due to the ever-increasing user requirements and rapid advance of technology. As such, the frequency of accidents due to system design errors or failure has been increasing. When the damage incurred by accidents to human beings or property is serious, the underlying systems are referred to as safety-critical systems. The development of such systems requires special efforts to ensure the safety of the human beings operating them. To cope with such a requirement, in this paper an approach is employed in which we consider safety starting from the conceptual design phase of the systems. Specifically, a systems design method that can detect functional failure is proposed by utilizing meta-models and M&S methods. To accomplish this, the safety design data from international safety standards are first extracted and also a meta-model is generated using SysML (systems modeling language). Then, a SysML-based system design method is proposed based on the use of the developed meta-model. We also discuss how the safety requirements can be created and verified using a simulation method. Finally, through a case study in automotive design, it is demonstrated that the detection of a functional failure and the verification of a safety requirement can be accomplished using the SysML-based M&S method. This study indicates that the use of meta-models can be useful for collecting and managing safety data and that the meta-model based M&S method can make it possible to satisfy the system requirements by reducing the design errors.
Keywords
Model-Based Systems Engineering(MBSE); Meta-Model; Safety; Simulation; SysML;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 S. Friedenthal, A. Moore and R. Steiner, A Practical Guide To SysML, Elsevier, 2015.
2 J. L. de la Vara, A. Ruiz, K. Attwood, H. Espinoza, R. K. Panesar-Walawege, A. Lopez, I. del Rio, and T. Kelly, "Model-based specification of safety compliance needs for critical systems: A holistic generic meta-model", Information and Software Technology, vol. 72, pp. 16-30, 4, 2016.   DOI
3 F. Pfister, V. Chapurlat, M. Huchard, C. Nebut, and J. "A proposed meta-model for formalizing systems engineering knowledge, based on functional architectural patterns", Systems Engineering, vol. 15, no. 3, pp. 321-332, 2012. DOI: http://dx.doi.org/10.1002/sys.21204   DOI
4 P. Y. Piriou, J. M. Faure, and G. Deleuze, "A Meta-Model to Support the Integration of Dependability Concerns Into Systems Engineering Processes: An Example From Power Production", IEEE Systems Journal, vol. 10, no. 1, pp. 15-24, 2016. DOI: http://dx.doi.org/10.1109/JSYST.2014.2328663   DOI
5 E. S. Cho, "Design of Methodology Framework based on Meta-Model", Journal of the Korea Academia-Industrial cooperation Society, vol. 16, no. 10, pp. 6969-6976, Aug. 2015. DOI: http://dx.doi.org/10.5762/KAIS.2015.16.10.6969   DOI
6 C. J. Kim, C. Y. Song, "A MetaModel for Dynamic Mobile Web Service", Journal of the Korea Academia-Industrial cooperation Society, vol. 16, no. 10, pp. 6458-6465, Aug. 2015. DOI: http://dx.doi.org/10.5762/KAIS.2015.16.10.6458   DOI
7 R. Kraus, "Application of model based system engineering (MBSE) principles to an automotive driveline sub-system architecture", M.S thesis, Science in Product Development, Detroit Mercy, Detroit, MI 2016.
8 Functional safety of electrical / electronic / programmable electronic safety-related systems, IEC Standard, 61508, 2010.
9 A. Baouya, D. Bennouar, O. A. Mohamed, and S. Ouchani, "A quantitative verification framework of SysML activity diagrams under time constraints", Expert Systems with Applications, vol. 42, no. 21, pp. 7493-7510, 11, 2015.   DOI
10 A. Garro, J. Gross, M. R. gen. Richter, and A. Tundis, "Reliability analysis of an Attitude Determination and Control System (ADCS) through the RAMSAS method," Journal of Computational Science, vol. 5, no. 3, pp. 439-449, 5, 2014.   DOI