Pattern-based validation metric for simulation models

Science China Information Sciences volume 63, Article number: 159203 (2020) Cite this article

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References

  1. 1

    Mehta U B, Eklund D R, Romero V J, et al. Simulation Credibility: Advances in Verification, Validation, and Uncertainty Quantification. NASA Technical Report, NASA/TP-2016-219422, JANNAF/GL-2016-0001, ARC-E-DAA-TN35719, 2016

  2. 2

    National Aeronautics and Space Administration. Standard for models and simulations. NASA-STD-7009, 2016

  3. 3

    Babuska I, Oden J T. Verification and validation in computational engineering and science: basic concepts. Comput Method Appl Mech Eng, 2004, 193: 4057–4066

    MathSciNet  Article  Google Scholar 

  4. 4

    Berard B, Bidoit M, Finkel A, et al. Systems and Software Verification: Model-Checking Techniques and Tools. Berlin: Springer, 2013

    Google Scholar 

  5. 5

    Tantithamthavorn C, McIntosh S, Hassan A E, et al. An empirical comparison of model validation techniques for defect prediction models. IEEE Trans Softw Eng, 2017, 43: 1–18

    Article  Google Scholar 

  6. 6

    Liu H, Zhang J. High dynamic adaptive mobility network model and performance analysis. Sci China Ser F-Inf Sci, 2008, 51: 1154–1166

    Article  Google Scholar 

  7. 7

    Li B H, Song X, Zhang L, et al. CoSMSOL: complex system modeling, simulation and optimization language. Int J Model Simul Sci Comput, 2017, 08: 1741002

    Article  Google Scholar 

  8. 8

    Ao D, Hu Z, Mahadevan S. Dynamics model validation using time-domain metrics. J Verif Valid Uncert, 2017, 2: 011004

    Article  Google Scholar 

  9. 9

    Wu Y X, Shen C, Jiang H, et al. Strict pattern matching under non-overlapping condition. Sci China Inf Sci, 2017, 60: 012101

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61703015).

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Affiliations

  1. Beijing Advanced Innovation Center for Big Data-based Precision Medicine, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China

    Yuanjun Laili & Lin Zhang

  2. China State Shipbuilding Corporation System Engineering Research Institute, Beijing, 100191, China

    Yongliang Luo

Authors
  1. Yuanjun Laili
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  2. Lin Zhang
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  3. Yongliang Luo
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Corresponding author

Correspondence to Lin Zhang.

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Laili, Y., Zhang, L. & Luo, Y. Pattern-based validation metric for simulation models. Sci. China Inf. Sci. 63, 159203 (2020). https://doi.org/10.1007/s11432-018-9559-9

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