[1] Schlesinger S. Terminology for model credibility. Sim-ulation. 1979; 32(3):103-104.
doi: 10.1177/003754977903200304.
[2] Sargent RG. Validation of simulation models. In High-land HJ, editor. Proceedings of the 1979 Winter Simu-lation Conference. Piscataway, IEEE Press; 1979. Vol.2, 497-503.
[3] Ören TI. Concepts and criteria to assess acceptability of simulation studies: a frame of reference. In Adam N, editor. Simulation Modelling and Statistical Compu-ting. Communications of the ACM. 1981; 24(4):180-188.
[4] Balci O. Principles of simulation model validation. Trans. Soc. Comput. Simul. Int. 1997; 14(1):3-12.
[5] Brade D. Enhanced modelling and simulation accredi-tation by structuring verification and validation results. In Joines JA, Barton R, Kang K et al., editors. Proceed-ings of the 2000 Winter Simulation Conference, La Jolla, CA, USA, Soc. Mod. and Comput. Simul. Int.; 2000. 840-848.
[6] Murray-Smith DJ. Modelling and Simulation of Inte-grated Systems: Issues of Methodology, Quality, Test-ing and Application. Cambridge, UK. Woodhead Pub-lishing; 2012, 353 pp.
[7] Bruenese APJ, Top JJ, Broenik JF et al. Libraries of reusable models: theory and application. Simulation 1998; 71(1): 7-22. doi: 10.1177/003754979807100101.
[8] Murray-Smith DJ. Testing and Validation of Computer Simulation Models, Cham, Switzerland, Springer; 2015. 252 pp.
[9] Cloud DJ, Rainey, LB, editors, Applied Modeling and Simulation: An Integrated Approach to Develomment and Operation, New York, McGraw-Hill; 1998. 712pp.
[10] Pace DK. Modelling and simulation verification and validation challenges. John Hopkins APL Tech Digest, 2004; 25(2): 163-172.
[11] The Mitre Corporation. Verification and validation of simulation models. Mitre Systems Engineering Guide. 2014:461-469. [Online] Available: www.mitre.org/publications/technical-papers/the-mitre-systems-engineering-guide. [Accessed 21-June-2016].
[12] Foss BA, Lohmann B, Marquhardt W. A field study of industrial modelling process. Model. Identif. Control. 1998; 19(3):153-174. doi:10.4173/mic.1998.3.3.
[13] Padfield GD. The role of industry. In Rotorcraft Sys-tem Indentification. AGARD Advisory Report 280 (AGARD-AR-280) Section 3.3. Neuilly-sur_Seine, France, AGARD; 1991. 21-29.
[14] Kuhn DR, Chandramouli R, Butler RW. Cost effective
use of formal methods in verification and validation. Invited Paper. Proceedings Foundations ’02 Work-shop. 2002 Oct 22-23, Laurel, Maryland, USA, US Dept of Defense.
[15] Groetsch CW Inverse Problems. Washington DC, USA. The Mathematical Association of America, 1999.
222 pp.
[16] Bellman R, Åstrӧm KJ. On structural identifiability. Math Biosci.1970; 7:329-339. doi:10.1016/0025-5564(70)90132-X.
[17] Hvala N, Zec M, Strmčnik S. Non-linear model param-eter estimation – estimating a feasible parameter set with respect to model use. Mathematical and Comput-er Modelling of Dynamical Systems. 2008; 14(6):587-605. doi:10.1080/13873950802246580.
[18] Hunter WG, Hill WJ, Henson TL Designing experi-ments for precise estimation of all or some of the con-stants in a mechanistic model. Canadian J Chem Eng. 1969; 47: 76-80. doi: 10.1002/cjce.5450470114.
[19] Defense Science Board (DSB). Defense Science Board, Model Driven Architecture (MDA). DSB Re-port. Washington DC, USA. Defense Science Board 2006.
[20] Hemez FM. The myth of science-based predictive modelling. In Proceedings Foundations ’04 Workshop. 2004 Oct 13-15, Tempe, Arizona, USA. Report LA-UR-04-6829, Los Alamos National Laboratory, USA.
[21] Ericsen, T. Physics based design, the future of model-ling and simulation. Acta Polytechnica. 2005; 45(4):59-64.
[22] Ericsen T. Guidance for the development of ship-smart system design (S3D). ONR BAA #04.001, Advanced Integrated Power Systems, 2004 July, Boston, USA .
[23] Famme JB, Gallacher C, Raitch T. Performance based design for fleet affordability. Nav. Eng. J. 2009; 12(4): 117-132. doi:10.1111/j.1559-3581.2009.00233.x
[24] Building Information Modelling (BIM) Task Group. [Online]. Available: www.bimtaskroup.org. [Accessed 21-June-2016].
[25] Anonymous. About the IUPS Physiome Project. [Online]. Available: www.physiomeproject.org/about/the-virtual-physiological-human. [Accessed 21-June-2016].
[26] Caro JJ, Briggs AH, Siebert U, Kuntz KM. Modeling good research practices- overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Medical Decision Making. 2012; 32(5): 667-677. doi:10.1177/0272989X12454577.
[27] Briggs AH, Weinstein MC, Fenwick EAL, Karnon J, Schulpher MJ, Paltiel AD. Model parameter estimation and uncertainty: a report of the ISPOR-SMDM Model-ing Good Research Practices Task Force-6. Medical Decision Making. 2012; 32(5):722-732. doi:10.1177/0272989X12458348.
[28] Eddy DM, Hollingsworth W, Caro JJ, Tsevat, J, McDonald KM, Wong JB. Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7. Medical Deci-sion Making. 2012; 32(5):733-7. doi:10.1177/0272989X12454579.