This article describes Department of Defense (DoD) Systems Engineering Research Center (SERC) efforts leading to and supporting the DoD Digital Engineering (DE) initiative. Topics include the SERC’s initial collaboration with Naval Air Systems Command (NAVAIR) in 2013 as well as ongoing SERC DE research. The article also identifies future research needed to continue to develop the DE ecosystem for system of systems acquisition, which will require rapidly changing mission strategies to address ever-evolving threats.
ARP 4761:1996. Guidelines and methods for conducting the safety assessment process on civil airborne systems and equipment.
3.
SchroederCA.A study of how model-centric engineering relates to time-to-market and agility to accommodate customer-required changes, http://scholars.indstate.edu/handle/10484/8223 (2015, accessed 28 May 2017).
BlackburnMCloutierRWitusG, et al. Transforming system engineering through model-centric engineering. Report no. SERC-2014-TR-044–2, January2015. Hoboken, NJ: Stevens Institute of Technology.
BlackburnMBoneMWitusG.Transforming system engineering through model-centric engineering. Report no. SERC-2015-TR-109, November2015. Hoboken, NJ: Stevens Institute of Technology.
BlackburnMBlakeRBoneM, et al. Transforming systems engineering through model-centric engineering. Report no. SERC-2017-TR-101, January2017. Hoboken, NJ: Stevens Institute of Technology.
15.
BroyMFeilkasMHerrmannsdoerferM, et al. Seamless model-based development: from isolated tools to integrated model engineering environments. Proc IEEE2010; 98: 526–545.
16.
BlackburnMDennoP.Using semantic web technologies for integrating domain specific modeling and analytical tools. Procedia Comput Sci2015; 61: 141-146.
17.
ShaniUJacobsSWengrowiczN, et al. Engaging ontologies to break MBSE tools boundaries through semantic mediation. In: 14th annual conference on systems engineering research, Huntsville, AL, 22–24 March 2016.
BifflSSabouM (eds). Semantic web technologies for intelligent engineering applications. Cham, Switzerland: Springer International Publishing, 2016.
24.
JenkinsJS. Semantically-rigorous systems engineering modeling using SysML and OWL. In: International Workshop on Systems & Concurrent Engineering for Space Applications (SECESA 2012), Lisbon, Portugal, 5th, 17–19 October 2012.
25.
NewcomerJ.A new approach to quantification of margins and uncertainties for physical simulation data. Report no. SAND2012–7912, September2012. Albuquerque, NM: Sandia National Laboratories.
26.
Sandia National Laboratories. Dakota: explore and predict with confidence, https://dakota.sandia.gov/ (2017, accessed 2 June 2017).
27.
RomeroV.Uncertainty quantification and sensitivity analysis: some fundamental concepts. In: AIAA Science and Technology Forum and Exposition (AIAA SciTech 2015), Kissimmee, FL, 5–9 January 2015.
28.
RhodesDHRossAM.A vision for human–model interaction in interactive model-centric systems engineering. INSIGHT2017; 20(3): 39-46.
29.
GermanESRhodesDH. Model-centric decision-making: exploring decision-maker trust and perception of models. In: Disciplinary convergence in systems engineering research. Cham, Switzerland: Springer International Publishing, 2017, pp.813-827.
BaptyTNeemaSScottJ. Overview of the META toolchain in the adaptive vehicle make program. Report no. ISIS-15–103, 2015. Parsippany, NJ: Vanderbilt Industries.
32.
Phoenix Integration. ModelCenter: the framework for model based engineering, www.phoenix-int.com/ (2017, accessed 2 June 2017).
33.
RossAMFitzgeraldMERhodesDH. Interactive evaluative model trading for resilient systems decisions. In: 14th annual conference on systems engineering research, Huntsville, AL, 22–24 March 2016.
34.
RossAMRhodesDH. Interactive model trading for resilient systems decisions. In: Disciplinary convergence in systems engineering research. Cham, Switzerland: Springer International Publishing, 2017, pp.97–112.
35.
CurryMRossAM. Designing system value sustainment using interactive epoch-era analysis: a case study for on-orbit servicing vehicles. In: 14th annual conference on systems engineering research, Huntsville, AL, 22–24 March 2016.
36.
ReymondetLRhodesDHRossAM. Considerations for model curation in model-centric systems engineering. In: 2016 Annual IEEE systems conference (SysCon 2016), Orlando, FL, 18–21 April 2016, pp.1–7. New York: IEEE.
37.
GermanESRhodesDH.Human–model interactivity: what can be learned from the experience of pilots transitioning to glass cockpit? In: 14th annual conference on systems engineering research, Huntsville, AL, 22–24 March 2016.
