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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bayer, T.J. Seung Chung Cole, B. Cooke, B. Dekens, F. Delp, C. Gontijo, I. Lewis, K. Moshir, M. Rasmussen, R. Wagner, D. |
| Copyright Year | 2012 |
| Description | Author affiliation: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109 (Bayer, T.J.; Seung Chung; Cole, B.; Cooke, B.; Dekens, F.; Delp, C.; Gontijo, I.; Lewis, K.; Moshir, M.; Rasmussen, R.; Wagner, D.) |
| Abstract | At the start of 2011, the proposed Jupiter Europa Orbiter (JEO) mission was staffing up in expectation of becoming an official project later in the year for a launch in 2020. A unique aspect of the pre-project work was a strong emphasis and investment on the foundations of Model-Based Systems Engineering (MBSE). As so often happens in this business, plans changed: NASA's budget and science priorities were released and together fundamentally changed the course of JEO. As a result, it returned to being a study task whose objective is to propose more affordable ways to accomplish the science. As part of this transition, the question arose as to whether it could continue to afford the investment in MBSE. In short, the MBSE infusion has survived and is providing clear value to the study effort. In the process, the need to remain relevant in the new environment has brought about a wave of innovation and progress. By leveraging the existing infrastructure and a modest additional investment, striking advances in the capture and analysis of designs using MBSE were achieved. The effort has reaffirmed the importance of architecting. It has successfully harnessed the synergistic relationship of architecting to system modeling. We have found that MBSE can provide greater agility than traditional methods. We have also found that a diverse ‘ecosystem’ of modeling tools and languages (SysML, Mathematica, even Excel) is not only viable, but an important enabler of agility and adaptability. This paper will describe the successful application of MBSE in the dynamic environment of early mission formulation, the significant results produced and lessons learned in the process. |
| Starting Page | 1 |
| Ending Page | 18 |
| File Size | 1345371 |
| Page Count | 18 |
| File Format | |
| ISBN | 9781457705564 |
| ISSN | 1095323X |
| e-ISBN | 9781457705571 |
| DOI | 10.1109/AERO.2012.6187337 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptation models Computer architecture Analytical models Ontologies Unified modeling language |
| Content Type | Text |
| Resource Type | Article |
| Subject | Aerospace Engineering Space and Planetary Science |
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