Abstract
Today’s companies in high-tech industries develop products of high complexity which consist of complicated subsystems with many heterogeneous components integrated together. As the system complexity increases, it becomes increasingly more challenging to manage the tedious development process. The Capability Maturity Model Integration (CMMI) was proposed as a general framework for process management and improvement which judges the maturity of a process. Simulations have long been regarded as complex and integrated systems. Simulation system engineering manages the total simulation system’s life-cycle process. The adaptation of the CMMI for simulation life-cycle processes is envisioned as a domain specific solution for simulation process management and improvement. This article investigates the opportunities of extending the CMMI engineering process area with emphasis in simulation system engineering, having its roots from IEEE Recommended Practice for Distributed Simulation Engineering and Execution Process (DSEEP).
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References
CMMI Product Team: CMMI for development, version 1.3 (2010)
Goldenson, D., Gibson, D.L.: Demonstrating the impact and benefits of CMMI: an update and preliminary results (2003)
Balci, O.: Guidelines for successful simulation studies. In: Proceedings of the 22nd Conference on Winter Simulation. IEEE Press (1990)
IEEE Recommended Practice for High Level Architecture (HLA) Federation Development and Execution Process (FEDEP): IEEE Std 1516.3-2003 (2003)
IEEE Recommended Practice for Distributed Simulation Engineering and Execution Process (DSEEP): IEEE Std 1730-2010 (2011)
Durak, U., Ören, T.: Towards an ontology for simulation systems engineering. In: Proceedings of the 49th Annual Simulation Symposium. Society for Computer Simulation International, p. 13 (2016)
D’Ambrogio, A., Durak, U.: Setting systems and simulation life cycle processes side by side. In: 2016 IEEE International Symposium on Systems Engineering (ISSE), pp. 1–7. IEEE (2016)
Richey, F.: Modeling and simulation CMMI: a conceptual view. CrossTalk J. Def. Softw. Eng. 15(3), 29–30 (2002)
Withalm, J., Wölfel, W., Duin, H., Peters, M.: Combining CMMI with serious gaming and e-learning to support skill assessment and development in tourism. In: International Conference on Interactive Computer Aided Learning (ICL2008). University Press, Kassel (2008)
Chen, C., Kuo, C., Chen, P.: The teaching capability maturity model for teachers in higher education: a preliminary study. In: 2011 International Conference on Frontiers in Education: Computer Science and Computer Engineering (2011)
Williams, P.: A practical application of CMM to medical security capability. Inf. Manag. Comput. Secur. 16(1), 58–73 (2008)
Neuhauser, C.: A maturity model: does it provide a path for online course design. J. Interact. Online Learn. 3(1), 1–17 (2004)
Bofinger, M., Robinson, N., Lindsay, P., Spiers, M., Ashford, M., Pitman, A.: Experience with extending CMMISM for safety related applications. In: 12th Annual Symposium International Council on Systems Engineering, Las Vegas, NV (2002)
Fujimoto, R., Bock, C., Chen, W., Page, E., Panchal, J.H.: Research challenges in modeling and simulation for engineering complex systems (2017)
Duda, H., Gerlach, T., Advani, S., Potter, M.: Design of the DLR AVES research flight simulator. In: AIAA Modeling and Simulation Technologies Conference (2013)
Gerlach, T., Durak, U.: AVES SDK: bridging the gap between simulator and flight systems designer. In: AIAA Modeling and Simulation Technologies Conference (2015)
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Mahmoodi, S., Durak, U., Gerlach, T., Hartmann, S., D’Ambrogio, A. (2018). Extending the CMMI Engineering Process Areas for Simulation Systems Engineering. In: Baum, M., Brenner, G., Grabowski, J., Hanschke, T., Hartmann, S., Schöbel, A. (eds) Simulation Science. SimScience 2017. Communications in Computer and Information Science, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-319-96271-9_12
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DOI: https://doi.org/10.1007/978-3-319-96271-9_12
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