Understanding uncertainty in cyber-physical systems: A conceptual model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9764, Issue , 2016, Pages 247-264

  Zhang, Man ^a   Selic, Bran ^a   Ali, Shaukat ^a   Yue, Tao ^a,b   Okariz, Oscar ^c   Norgren, Roland ^d  

^a SIMULA RESEARCH LABORATORY   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c ULMA Handling Systems   (Spain)

^d Future Position X   (Sweden)

Author keywords

Conceptual model; Cyber physical systems; Uncertainty

Indexed keywords

APPLICATION PROGRAMS;

CONCEPTUAL MODEL; CYBER PHYSICAL SYSTEMS (CPSS); CYBER-PHYSICAL SYSTEMS (CPS); DEVELOPMENT AND TESTING; INDUSTRIAL CASE STUDY; TECHNICAL SYSTEMS; UML CLASS DIAGRAMS; UNCERTAINTY;

EMBEDDED SYSTEMS;

EID: 84977479326     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-42061-5_16     Document Type: Conference Paper

References (34)

1. Ali, S., Yue, T.: U-test: evolving, modelling and testing realistic uncertain behaviours of cyber-physical systems. In: Software Testing, Verification and Validation (ICST), pp. 1-2. IEEE (2015)
2. Broy, M.: Engineering cyber-physical systems: challenges and foundations. In: Proceedings of Complex Systems Design & Management, CSD&M, pp. 1-13 (2013)
3. Huang, H.-M., Tidwell, T., Gill, C., Lu, C., Gao, X., Dyke, S.: Cyber-physical systems for real-time hybrid structural testing: a case study. In: Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems, pp. 69-78 (2010)
4. Tidwell, T., Gao, X., Huang, H.-M., Lu, C., Dyke, S., Gil, C.: Towards configurable real-time hybrid structural testing: a cyber physical systems approach. In: Proceedings of Object/Component/Service-Oriented Real-Time Distributed Computing, pp. 37-44 (2009)
5. Tannert, C., Elvers, H.D., Jandrig, B.: The ethics of uncertainty. EMBO reports 8 (2007)
6. Mishel, M.H.: Uncertainty in illness. Image: J. Nurs. Scholarsh. 20, 225-232 (1988)
7. Babrow, A.S., Kasch, C.R., Ford, L.A.: The many meanings of uncertainty in illness: toward a systematic accounting. Health Commun. 10, 1-23 (1998)
8. Han, P.K., Klein, W.M., Arora, N.K.: Varieties of uncertainty in health care a conceptual taxonomy. Med. Decis. Making 31, 828-838 (2011)
9. Cisco: Cisco Preferred Architecture for Video-Design Overview (2015)
10. Zhang, M., Selic, B., Ali, S., Yue, T., Okariz, O., Norgren, R.: Understanding uncertainty in cyber-physical systems: a conceptual model. Simula Laboratory Research (2016)
11. Bammer, G., Smithson, M.: Uncertainty and Risk: Multidisciplinary Perspectives. Routledge, New York (2012)
12. Lindley, D.V.: Understanding uncertainty (revised edn.). Wiley, Hoboken (2014)
13. Potter, K., Rosen, P., Johnson, C.R.: From quantification to visualization: a taxonomy of uncertainty visualization approaches. In: Dienstfrey, A.M., Boisvert, R.F. (eds.) Uncertainty Quantification in Scientific Computing. IFIP AICT, vol. 377, pp. 226-249. Springer, Heidelberg (2012)
14. Taylor, B.N.: Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results (rev. DIANE Publishing 2009)
15. Wasserkrug, S., Gal, A., Etzion, O.: A taxonomy and representation of sources of uncertainty in active systems. In: Etzion, O., Kuflik, T., Motro, A. (eds.) NGITS 2006. LNCS, vol. 4032, pp. 174-185. Springer, Heidelberg (2006)
16. Cimatti, A., Micheli, A., Roveri, M.: Timelines with Temporal Uncertainty. In: AAAI (2013)
17. Sprunt, B., Sha, L., Lehoczky, J.: Scheduling sporadic and aperiodic events in a hard real-time system. DTIC Document (1989)
18. ISO: ISO 31000: Risk management (2009)
19. Garvey, P.R., Lansdowne, Z.F.: Risk matrix: an approach for identifying, assessing, and ranking program risks. Air Force J. Logistics 22, 18-21 (1998)
20. Klir, G.: Facets of Systems Science. Springer Science & Business Media, New York (2013)
21. Yue, T., Briand, L.C., Labiche, Y.: Facilitating the transition from use case models to analysis models: approach and experiments. ACM Trans. Softw. Eng. Methodol. (TOSEM) 22, Article No. 5, 1-38 (2013)
22. Rajkumar, R.R., Lee, I., Sha, L., Stankovic, J.: Cyber-physical systems: the next computing revolution. In: Proceedings of the 47th Design Automation Conference. ACM (2010)
23. Conti, M., Das, S.K., Bisdikian, C., Kumar, M., Ni, L.M., Passarella, A., Roussos, G., Tröster, G., Tsudik, G., Zambonelli, F.: Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence. Pervasive Mob. Comput. 8, 2-21 (2012)
24. Garlan, D.: Software engineering in an uncertain world. In: Proceedings of the FSE/SDP Workshop on Future of Software Engineering Research, pp. 125-128. ACM (2010)
25. Hu, F.: Cyber-Physical Systems: Integrated Computing and Engineering Design. CRC Press, Boca Raton (2013)
26. Cheng, B.H., Sawyer, P., Bencomo, N., Whittle, J.: A goal-based modeling approach to develop requirements of an adaptive system with environmental uncertainty. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 468-483. Springer, Heidelberg (2009)
27. Wan, K., Man, K.L., Hughes, D.: Specification, analyzing challenges and approaches for cyber-physical systems (CPS). Eng. Lett. 18, 308 (2010)
28. Kerwin, A.: None too solid medical ignorance. Sci. Commun. 15, 166-185 (1993)
29. Smithson, M.: Ignorance and Uncertainty: Emerging Paradigms. Springer, New York (1989)
30. Der Kiureghian, A., Ditlevsen, O.: Aleatory or epistemic? Does it matter? Struct. Saf. 31, 105-112 (2009)
31. Esfahani, N., Malek, S.: Uncertainty in self-adaptive software systems. In: De Lemos, R., Giese, H., Müller, H.A., Shaw, M. (eds.) Self-Adaptive Systems. LNCS, vol. 7475, pp 214-238. Springer, Heidelberg (2013)
32. Ziv, H., Richardson, D., Klösch, R.: The uncertainty principle in software engineering. In: Proceedings of the 19th International Conference on Software Engineering (1997)
33. Matthies, H.G.: Quantifying uncertainty: modern computational representation of probability and applications. In: Extreme Man-Made and Natural Hazards in Dynamics of Structures, pp. 105-135. Springer, The Netherlands (2007)
34. Bell, S.: A Beginner’s Guide to Uncertainty of Measurement. National Physical Laboratory Teddington, Middlesex (2001)