Systematic Literature Review of MBSE Tool-Chains
Source abstract
Abstract
Currently, the fundamental tenets of systems engineering are supported by a model-based approach to minimize risks and avoid design changes in late development stages. The models are used to formalize, analyze, design, optimize, and verify system development and artifacts, helping developers integrate engineering development across domains. Although model-based development is well established in specific domains, such as software, mechanical systems, and electrical systems, its role in integrated development from a system perspective is still a challenge for industry. The model-based systems engineering (MBSE) tool-chain is an emerging technique in the area of systems engineering and is expected to become a next-generation approach for supporting model integration across domains. This article presents a literature review to highlight the usage and state of the art to generally specify the current understanding of MBSE tool-chain concepts. Moreover, the results are used for identifying the usage, advantages, barriers, concerns, and trends of tool-chain development from an MBSE perspective.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Systems Engineering Methodologies and Applications · Software Engineering Techniques and Practices · Technology Assessment and Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
EPFL—École Polytechnique Fédérale de Lausanne, Route Cantonale, 1015 Lausanne, Switzerland
Department of Computer Science, University of Antwerp/Flanders Make, Middelheimlaan 1, B-2020 Antwerp, Belgium
Funding
the CN National Key Research and Development Plan · the CN pre-study common technology
References (43)
Show source-provided references
1. Systems engineering handbook
2. Wiki (2021, November 02). Hello. Available online: https://en.wikipedia.org/wiki/Toolchain.
3. An Investigation of Functionalities of Future Tool-chain for Aerospace Industry10.1002/j.2334-5837.2017.00437.x ↗
4. Binder, C., Fischinger, M., Neureiter, C., Lastro, G., Polanec, K., and Gross, J.A. (2020, January 2–4). Towards a Tool-Based Approach for Dynamically Generating Co-Simulation Scenarios based on complex Smart Grid System Architectures. Proceedings of the 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), Budapest, Hungary.10.1109/SoSE50414.2020.9130514 ↗
5. König, C., Mengist, A., Gamble, C., Höll, J., Lausdahl, K., Bokhove, T., Brosse, E., Möller, O., and Pop, A. (2020, January 23–25). Traceability in the Model-Based Design of Cyber-Physical Systems. Proceedings of the American Modelica Conference 2020, Boulder, CO, USA.10.3384/ecp20169168 ↗
6. Model-based systems engineering tool-chain for automated parameter value selection10.1109/TSMC.2020.3048821 ↗
7. Survey of Model-Based Systems Engineering ( MBSE ) Methodologies
8. MBSE applicability Analysis
9. MBSE Applicability Analysis in Chinese Industry10.1002/j.2334-5837.2018.00532.x ↗
10. State-of-practice survey of model-based systems engineering10.1002/sys.21466 ↗
11. Toward the tools selection in model based system engineering for embedded systems—A systematic literature review10.1016/j.jss.2015.04.089 ↗
12. Hutchinson, J., Rouncefield, M., and Whittle, J. (2011). Model-driven engineering practices in industry. Proceeding of the 33rd International Conference on Software Engineering, Honolulu, HI, USA, 21–28 May 2011, ACM Press.10.1145/1985793.1985882 ↗
13. Gomes, C., Thule, C., Broman, D., Larsen, P.G., and Vangheluwe, H. (2017). Co-simulation: State of the art. arXiv.
14. Asplund, F., Biehl, M., El-Khoury, J., and Törngren, M. (2011, January 20–24). Tool integration beyond Wasserman. Proceedings of the International Conference on Advanced Information Systems Engineering, London, UK.10.1007/978-3-642-22056-2_29 ↗
15. Systematic literature reviews in software engineering—A tertiary study10.1016/j.infsof.2010.03.006 ↗
16. De Weck, O.L., Ross, A.M., and Rhodes, D.H. (2012, January 18–20). Investigating Relationships and Semantic Sets amongst System Lifecycle Properties (Ilities). Proceedings of the Third International Engineering Systems Symposium CESUN, Delft, The Netherlands.
17. Lu, J. (2019). Research Survey on Model-Based Systems Engineering Tool-Chain, KTH. Technical Report.
18. Writing Integrative Literature Reviews: Guidelines and Examples10.1177/1534484305278283 ↗
19. Lu, J., Gürdür, D., Chen, D.J., Wang, J., and Törngren, M. (2018, January 27–29). Empirical-evolution of frameworks supporting co-simulation tool-chain development. Proceedings of the World Conference on Information Systems and Technologies, Naples, Italy.10.1007/978-3-319-77703-0_80 ↗
20. A domain-specific modeling approach supporting tool-chain development with Bayesian network models10.3233/ICA-190612 ↗
21. Geraci, A., Katki, F., McMonegal, L., Meyer, B., and Porteous, H. (1991). IEEE Standard Computer Dictionary: A Compilation of IEEE Standard Computer Glossaries, IEEE Press. Technical Report.
22. Integrating Safety and Reliability Analysis into MBSE: Overview of the new proposed OMG standard10.1002/j.2334-5837.2018.00551.x ↗
23. Vepsäläinen, T., and Kuikka, S. (2013). Simulation-based development of safety related interlocks. Simulation and Modeling Methodologies, Technologies and Applications, Springer.10.1007/978-3-642-34336-0_11 ↗
24. An integrated toolchain for model based functional safety analysis10.1016/j.jocs.2013.08.009 ↗
25. Joglar, F. (2016). Reliability, availability, and maintainability. SFPE Handbook of Fire Protection Engineering, Springer.10.1007/978-1-4939-2565-0_74 ↗
26. Huang, Z., Swalgen, S., Davidz, H., and Murray, J. (2017, January 23–26). MBSE-assisted FMEA approach—Challenges and opportunities. Proceedings of the 2017 Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL, USA.10.1109/RAM.2017.7889722 ↗
27. Reliability study of complex physical systems using SysML10.1016/j.ress.2009.11.015 ↗
28. Soini, M. (2014). Modeling and Simulation Practices in Control System Software Development. [Master’s Thesis, Tampere University of Technology].
29. Ontology-based requirement verification for complex systems10.1016/j.aei.2020.101148 ↗
30. Willich, F., Wolff, C., Sutorma, A., Jahn, U., and Stampa, M. (2021, January 18–20). Model-based Systems Engineering of an Active, Oleo-Pneumatic Damper for a CS-23 General Aviation Aircraft Landing Gear. Proceedings of the 2021 IEEE European Technology and Engineering Management Summit (E-TEMS), Dortmund, Germany.10.1109/E-TEMS51171.2021.9524897 ↗
31. Bilic, D. (2020). Managing Variability in SysML Models of Automotive Systems. [Ph.D. Thesis, Mälardalen University].
32. Myron, H., Elisabeth, N., Aaron, C., and Pinchak, J. (2015, January 2–5). Automated generation of failure modes and effects analysis for a medical device. Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), Gaithersburg, MD, USA.
33. Enterprise architecture modelling—The issue of integration10.1016/j.aei.2005.01.005 ↗
34. Hu, Z., Lu, J., Chen, J., Zheng, X., Kyritsis, D., and Zhang, H. (2020, January 2–4). A complexity analysis approach for model-based system engineering. Proceedings of the 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), Budapest, Hungary.10.1109/SoSE50414.2020.9130478 ↗
35. Integrating model-in-the-loop simulations to model-driven development in industrial control10.1177/0037549714553229 ↗
36. Integrating the SysML and the SystemC-UML profiles in a model-driven embedded system design flow10.1007/s10617-012-9097-7 ↗
37. Shani, U., Franke, M., Hribernik, K.A., and Thoben, K.D. (2017, January 24–27). Ontology mediation to rule them all: Managing the plurality in product service systems. Proceedings of the 11th Annual IEEE International Systems Conference, Montreal, QC, Canada.10.1109/SYSCON.2017.7934810 ↗
38. Adam, K., Holldobler, K., Rumpe, B., and Wortmann, A. (2017, January 10–12). Engineering Robotics Software Architectures with Exchangeable Model Transformations. Proceedings of the 2017 First IEEE International Conference on Robotic Computing (IRC), Taichung, Taiwan.10.1109/IRC.2017.16 ↗
39. Towards Industrial Integration of MBSE into PLM for Mission-Critical Systems10.1002/j.2334-5837.2016.00306.x ↗
40. Jackson, M., and Wilkerson, M. (2016, January 5–12). MBSE-driven visualization of requirements allocation and traceability. Proceedings of the 2016 IEEE Aerospace Conference, Big Sky, MT, USA.10.1109/AERO.2016.7500593 ↗
41. Lu, J., Chen, D., Jinzhi, L., Lu, J., Chen, D., Törngren, M., Loiret, F., Martin, T., Lu, J., and Chen, D. (2016, January 27–29). A Model-driven and Tool-integration Framework for Whole Vehicle Co-simulation Environments. Proceedings of the 8th European Congress on Embedded Real Time Software and Systems, Toulouse, France.
42. Baras, J.S., Austin, M.A., and Baras, S. (2014). Development of a Framework for CPS Open Standards and Platforms, The Institute for Systems Research, University of Maryland. Technical Report.
43. Schneider, J.P., Champeau, J., Lagadec, L., and Senn, E. (2015, January 15–17). Role Framework to Support Collaborative Virtual Prototyping of System of Systems. Proceedings of the 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, Larnaca, Cyprus.10.1109/WETICE.2015.37 ↗