The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Systems of Systems Engineering: Basic Concepts, Model-Based Techniques, and Research Directions
Open accessAbstract
The term “System of Systems” (SoS) has been used since the 1950s to describe systems that are composed of independent constituent systems, which act jointly towards a common goal through the synergism between them. Examples of SoS arise in areas such as power grid technology, transport, production, and military enterprises. SoS engineering is challenged by the independence, heterogeneity, evolution, and emergence properties found in SoS. This article focuses on the role of model-based techniques within the SoS engineering field. A review of existing attempts to define and classify SoS is used to identify several dimensions that characterise SoS applications. The SoS field is exemplified by a series of representative systems selected from the literature on SoS applications. Within the area of model-based techniques the survey specifically reviews the state of the art for SoS modelling, architectural description, simulation, verification, and testing. Finally, the identified dimensions of SoS characteristics are used to identify research challenges and future research areas of model-based SoS engineering.
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Cites
International Organization for Standardization
(2011) · SpringerReference · doi:10.1007/springerreference_16847 · Cited by 12,534
Statecharts: a visual formalism for complex systems
Harel, D. (1987) · Science of Computer Programming · doi:10.1016/0167-6423(87)90035-9 · Cited by 6,751
International Organization for Standardization
(2015) · Encyclopedia of Astrobiology · doi:10.1007/978-3-662-44185-5_100574 · Cited by 6,716
(2007) · doi:10.1145/1294261.1294281 · Cited by 3,447
General Systems Theory—The Skeleton of Science
Boulding, K. E. (1956) · Management Science · doi:10.1287/mnsc.2.3.197 · Cited by 2,333
Architecting principles for systems-of-systems
Maier, M. W. (1998) · Systems Engineering · doi:10.1002/(sici)1520-6858(1998)1:4<267::aid-sys3>3.0.co;2-d · Cited by 2,258
The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration
Fukuyama, F., Axelrod, R., & Jervis, R. (1998) · Foreign Affairs · doi:10.2307/20048800 · Cited by 2,189
Meyer, B. (1992) · Computer · doi:10.1109/2.161279 · Cited by 2,162
Safeware: System Safety and Computers
Leveson, N. G. (1995) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,688
Monitoring Temporal Properties of Continuous Signals
Maler, O., & Nickovic, D. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30206-3_12 · Cited by 1,227
Cited by
Gomes, C., Thule, C., Broman, D., Larsen, P. G., & Vangheluwe, H. (2019) · ACM Computing Surveys · doi:10.1145/3179993 · Cited by 369
Self-citationA systems thinking approach to understanding the challenges of achieving the circular economy
Iacovidou, E., Hahladakis, J. N., & Purnell, P. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-11725-9 · Cited by 334
Model-based security engineering for cyber-physical systems: A systematic mapping study
Nguyen, P. H., Ali, S., & Yue, T. (2017) · Information and Software Technology · doi:10.1016/j.infsof.2016.11.004 · Cited by 107
Metadata
- Authors
- Nielsen, C. B., Larsen, P. G., Fitzgerald, J., Woodcock, J., & Peleska, J.
- Venue
- ACM Computing Surveys
- Published
- 2015-09-24
- Volume
- 48
- Issue
- 2
- Pages
- 1-41
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2089520845
- Cited by
- 454
- References
- 50
- FWCI
- 36.19
- Type
- journal article
- Language
- en
- Open access
- green
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