Interactive Model-Centric Systems Engineering (IMCSE) Phase Two

Abstract : Model based systems engineering (MBSE) is becoming increasingly more important in the practice of SE. To take advantage of model-based techniques, it is important to improve human and technology integration. The Interactive Model-Centric Systems Engineering (IMCSE) research program develops SE methods, processes and tools (MPT) to improve this interaction. The IMCSE research program aims to develop transformative results through enabling intense human-model interaction, to rapidly conceive of systems and interact with models in order to make rapid trades to decide on what is most effective given present knowledge and future uncertainties, as well as what is practical given resources and constraints. This project explores development between value choice-tradeoff, supportive MPTs, and interactive Epoch-Era Analysis (IEEA), a framework for narrative and computational scenarios. Exploration includes human interface and reasoning considerations for epoch, era characterizations, and multi-epoch/era analyses. Leveraging prior work from DARPA META, the Interactive Schedule Reduction Model (ISRM) was extended promoting sensitivity analyses and benchmarking to be the central use case. The IMCSE research program for Phase 2 extends the original set of objectives. The work accomplished includes: Pathfinder state fo the art-practice research gathered and published, further strategies and implementations for IEEA, and completion of ISRM web-based prototype.

[1]  Adam M. Ross,et al.  Considerations for model curation in model-centric systems engineering , 2016, 2016 Annual IEEE Systems Conference (SysCon).

[2]  B.S. Hoyt,et al.  Exploring engineering , 1991, Proceedings Frontiers in Education Twenty-First Annual Conference. Engineering Education in a New World Order.

[3]  Shanna R. Daly,et al.  Supporting novice engineers in idea generation using Design Heuristics , 2017 .

[4]  J. P. Hale,et al.  Digital Model-Based Engineering: Expectations, Prerequisites, and Challenges of Infusion , 2017 .

[5]  Lian Ding,et al.  Strategies for the Curation of CAD Engineering Models , 2009, Int. J. Digit. Curation.

[6]  Saul I. Gass,et al.  Concepts of model confidence , 1981, Comput. Oper. Res..

[7]  Erling Shane German,et al.  An investigation of human-model interaction for model-centric decision-making , 2017 .

[8]  D. Giaretta,et al.  The Digital Curation Centre: a vision for digital curation , 2005, 2005 IEEE International Symposium on Mass Storage Systems and Technology.

[9]  Michael D. Watson,et al.  NASA Systems Engineering Research Consortium: Defining the Path to Elegance in Systems , 2016 .

[10]  Adam M. Ross,et al.  A VISION FOR HUMAN-MODEL INTERACTION IN INTERACTIVE MODEL-CENTRIC SYSTEMS ENGINEERING , 2016 .

[11]  E. Rechtin,et al.  The art of systems architecting , 1996, IEEE Spectrum.

[12]  Educational Requirements forDigital Curation Preparing the Workforce for Digital Curation , 2015 .

[13]  Seda Yilmaz,et al.  Evidence-based design heuristics for idea generation , 2016 .