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A content analysis-based approach to explore simulation verification and identify its current challenges

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  • Christopher J Lynch
  • Saikou Y Diallo
  • Hamdi Kavak
  • Jose J Padilla

Abstract

Verification is a crucial process to facilitate the identification and removal of errors within simulations. This study explores semantic changes to the concept of simulation verification over the past six decades using a data-supported, automated content analysis approach. We collect and utilize a corpus of 4,047 peer-reviewed Modeling and Simulation (M&S) publications dealing with a wide range of studies of simulation verification from 1963 to 2015. We group the selected papers by decade of publication to provide insights and explore the corpus from four perspectives: (i) the positioning of prominent concepts across the corpus as a whole; (ii) a comparison of the prominence of verification, validation, and Verification and Validation (V&V) as separate concepts; (iii) the positioning of the concepts specifically associated with verification; and (iv) an evaluation of verification’s defining characteristics within each decade. Our analysis reveals unique characterizations of verification in each decade. The insights gathered helped to identify and discuss three categories of verification challenges as avenues of future research, awareness, and understanding for researchers, students, and practitioners. These categories include conveying confidence and maintaining ease of use; techniques’ coverage abilities for handling increasing simulation complexities; and new ways to provide error feedback to model users.

Suggested Citation

  • Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    • Handle: RePEc:plo:pone00:0232929
    DOI: 10.1371/journal.pone.0232929
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    as
    1. Mingzhu Sun & Hui Xu & Xingjuan Zeng & Xin Zhao, 2017. "Automated numerical simulation of biological pattern formation based on visual feedback simulation framework," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-16, February.
    2. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    3. Ross Gore & Carlos Lemos & F. LeRon Shults & Wesley Wildman, 2018. "Forecasting Changes in Religiosity and Existential Security with an Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(1), pages 1-4.
    4. Joshua M. Epstein, 2014. "Agent_Zero:Toward Neurocognitive Foundations for Generative Social Science," Economics Books, Princeton University Press, edition 1, number 10169.
    5. R. W. Conway, 1963. "Some Tactical Problems in Digital Simulation," Management Science, INFORMS, vol. 10(1), pages 47-61, October.
    6. Harriet Dashnow & Andrew Lonsdale & Philip E Bourne, 2014. "Ten Simple Rules for Writing a PLOS Ten Simple Rules Article," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-5, October.
    7. Jose J Padilla & Hamdi Kavak & Christopher J Lynch & Ross J Gore & Saikou Y Diallo, 2018. "Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-20, June.
    8. Wilkinson, Leland & Friendly, Michael, 2009. "The History of the Cluster Heat Map," The American Statistician, American Statistical Association, vol. 63(2), pages 179-184.
    9. Mustafa Hekimoğlu & Yaman Barlas & Luis Luna-Reyes, 2016. "Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 332-362, July.
    10. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    11. Saikou Y. Diallo & Ross J. Gore & Jose J. Padilla & Christopher J. Lynch, 2015. "An overview of modeling and simulation using content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 977-1002, June.
    12. Jan C. Thiele & Winfried Kurth & Volker Grimm, 2014. "Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R'," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-11.
    13. Mingxin Zhang & Alexander Verbraeck & Rongqing Meng & Bin Chen & Xiaogang Qiu, 2016. "Modeling Spatial Contacts for Epidemic Prediction in a Large-Scale Artificial City," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-3.
    14. Hurrion, R. D., 1980. "An interactive visual simulation system for industrial management," European Journal of Operational Research, Elsevier, vol. 5(2), pages 86-93, August.
    15. George B. Kleindorfer & Liam O'Neill & Ram Ganeshan, 1998. "Validation in Simulation: Various Positions in the Philosophy of Science," Management Science, INFORMS, vol. 44(8), pages 1087-1099, August.
    16. Mathieu Jacomy & Tommaso Venturini & Sebastien Heymann & Mathieu Bastian, 2014. "ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-12, June.
    17. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    18. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    19. Thomas H. Naylor & J. M. Finger, 1967. "Verification of Computer Simulation Models," Management Science, INFORMS, vol. 14(2), pages 92-101, October.
    20. Lee, Ju-Sung & Filatova, Tatiana & Ligmann-Zielinska, Arika & Hassani-Mahmooei, Behrooz & Stonedahl, Forrest & Lorscheid, Iris & Voinov, Alexey & Polhill, J. Gareth & Sun, Zhanli & Parker, Dawn C., 2015. "The complexities of agent-based modeling output analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(4).
    21. Rémy Courdier & François Guerrin & Fenintsoa Andriamasinoro & Jean-Marie Paillat, 2002. "Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-4.
    22. Misbah Razzaq & Jamil Ahmad, 2015. "Petri Net and Probabilistic Model Checking Based Approach for the Modelling, Simulation and Verification of Internet Worm Propagation," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
    23. B L Nelson, 2016. "‘Some tactical problems in digital simulation’ for the next 10 years," Journal of Simulation, Taylor & Francis Journals, vol. 10(1), pages 2-11, February.
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