J. Banks, J. S. Carson, B. L. Nelson, and D. M. Nicol, Discrete-Event System Simulation, 2010.

O. Dalle, Should Simulation Products Use Software Engineering Techniques or Should They Reuse Products of Software Engineering? Part 1, Modeling & Simulation Magazine, vol.11, issue.3, p.12, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00638553

O. Dalle and C. Mrabet, An instrumentation framework for component-based simulations based on the Separation of Concerns paradigm, Proc. of 6th EUROSIM Congress on Modelling and Simulation (EUROSIM2007), p.10, 2007.

S. Fomel and J. Claerbout, Guest Editors' Introduction: Reproducible Research, Computing in Science & Engineering, vol.11, issue.1, pp.5-7, 2009.
DOI : 10.1109/MCSE.2009.14

R. M. Fujimoto, Parallel and distributed simulation systems, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304), 2000.
DOI : 10.1109/WSC.2001.977259

D. Goldberg, What every computer scientist should know about floating-point arithmetic, ACM Computing Surveys, vol.23, issue.1, pp.5-48, 1991.
DOI : 10.1145/103162.103163

D. C. Ince, L. Hatton, and J. Graham-cumming, The case for open computer programs, Nature, vol.20, issue.7386, pp.485-488, 2012.
DOI : 10.1038/nature10836

K. Jensen and L. Kristensen, Coloured Petri Nets ? Modeling and Validation of Concurrent Systems, 2009.

S. Kurkowski, T. Camp, and M. Colagrosso, MANET simulation studies, ACM SIGMOBILE Mobile Computing and Communications Review, vol.9, issue.4, pp.50-61, 2005.
DOI : 10.1145/1096166.1096174

A. M. Law, Simulation Modeling & Analysis, 2007.

T. Mclean and R. Fujimoto, Repeatability in real-time distributed simulation executions, Proceedings Fourteenth Workshop on Parallel and Distributed Simulation, 2000.
DOI : 10.1109/PADS.2000.847141

M. Dictionary, Definition of scientific method, 2012.

K. Niemeyer, Nature Editorial: If you want reproducible science, the software needs to be open source science-code-should-be-open-source-according-to-editorial, 2012.

K. Pawlikowski, H. Jeong, and J. Lee, On credibility of simulation studies of telecommunication networks, IEEE Communications Magazine, vol.40, issue.1, pp.132-139, 2002.
DOI : 10.1109/35.978060

L. F. Perrone, C. S. Main, and B. C. Ward, SAFE: Simulation automation framework for experiments, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), p.11, 2012.
DOI : 10.1109/WSC.2012.6465286

L. F. Perrone, Y. Yuan, and D. M. Nicol, Simulation of large scale networks II: modeling and simulation best practices for wireless ad hoc networks, Proceedings of the 35th conference on Winter simulation: driving innovation, WSC '03, pp.685-693, 2003.

H. Rahmandad and J. Sterman, Reporting guidelines for simulation-based research in social sciences, System Dynamics Review, vol.7, issue.4, 2012.
DOI : 10.1002/sdr.1481

M. Schwab, M. Karrenbach, and J. Claerbout, Making scientific computations reproducible, Computing in Science & Engineering, vol.2, issue.6, pp.61-67, 2000.
DOI : 10.1109/5992.881708

G. A. Wainer, Discrete-Event Modeling and Simulation: a Practitioners approach, 2009.

G. A. Wainer, K. Al-zoubi, O. Dalle, D. R. Hill, S. Mittal et al., Standardizing DEVS Model Representation, pp.427-458, 2011.
DOI : 10.1201/b10412-22
URL : https://hal.archives-ouvertes.fr/inria-00638560

B. P. Zeigler, H. Praehofer, and T. G. Kim, Theory of Modeling and Simulation, 2000.