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Magda Batista-Carver Federal Aviation Administration – Electrical Computer Engineer

Model Based System Engineering Approach to Managing Requirements in a Multi-Agency/Multi-Stakeholder Environment of Science and Technology/Research and Development Projects. Magda Batista-Carver Federal Aviation Administration – Electrical Computer Engineer

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Magda Batista-Carver Federal Aviation Administration – Electrical Computer Engineer

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  1. Model Based System Engineering Approachto Managing Requirements in a Multi-Agency/Multi-Stakeholder Environment of Science and Technology/Research and Development Projects Magda Batista-Carver Federal Aviation Administration – Electrical Computer Engineer The George Washington University EMSE PhD Candidate Dr. Thomas Mazzuchi, D. Sc. Dr. ShahramSarkani, Ph.D., P.E. May 16, 2012

  2. Overview • Motivation • Challenges with Traditional Systems Engineering • Motivation • Improving Management of Complex System Development • Why MBSE • Conceptual Model • Application • Analysis Framework • Notional Application Model • Conclusion

  3. Challenges with Traditional SE • Traditional System Engineering is paper based • Acceptable for smaller/single user systems • Large complex system development proves to be immensely challenging • Difficult to understand, track, manage and articulate effects of requirements changes • Document management approach does not support effective communication among distributed teams • Limited validation and verification resulting in late identification of issues • Poses development risk to projects operating in S&T/R&D environment

  4. Motivation • As the US debt increases, there is less funding available for Science &Technology (S&T)/Research & Development (R&D) Government Agency projects • Government Agencies repeatedly criticized for long development and acquisition cycles • Government agencies are pooling their funds for projects of similar interests resulting in System Engineers needing to address multi-agency requirements and complex project missions during product development • These complex projects need to be seamlessly integrated into a complex system of systems • Complex S&T systems development requires more robust, efficient and effective ways to manage requirements than traditional SE

  5. Improving Management of Complex System Development • Model Base System Engineering (MSBE) approach is more suitable for development of complex systems in the multi-stakeholder environment. • What is MBSE? • Layered approach to system development and requirements management • Stresses common language and term definition at the beginning • Uses modeling throughout the system’s lifecycle to support • Systems engineering and systems development • Design and analysis • Verification and validation • Supports integration of diverse models

  6. Why Model Based System Engineering? • Modeling performed at all layers of development • Improved approach to requirements validation and verification • Improved understanding of the overall system being developed • Early identification of problems • Cost avoidance potential • Improved overall productivity

  7. Conceptual Model

  8. Application • Potential Case Study • Joint Strike Fighter (J-35) is a multi-agency/multi-national program under development since 2001 • Since achieving design maturity in 2007, JSF has undergone over 20,000 changes • Current total acquisition cost is $283 B, a cost growth of 34.7% of the baseline total acquisition cost • Currently estimating a 5 year schedule slip for system development

  9. Analysis Framework • Multi-Agency/Multi-Stakeholder R&D/S&T Project • Joint Strike Fighter (J-35) • STOVL • CV • CTOL

  10. Notional Application

  11. Conclusions • Organizations are moving towards more complex system development in collaboration with other organization who have similar needs/interests • Acquisition timelines are lengthy, costly and often times result in programs not meeting all of the intended scope • MBSE can potentially address some of the challenges not met by traditional SE in a Multi-Stakeholder environment • Define terms from all stakeholders early in development process • Develop systems in increasing layers of complexity • Improve communications between developers and stakeholders • Allow for understanding of requirements changes to overall system

  12. Thank You! Contact Information Magda Batista-Carver (202) 385-6119 magda.batista-carver@faa.gov Thomas A. Mazzuchi, D.Sc. (202) 994-7541 mazzu@gwu.edu ShahramSarkani, Ph.D., P.E (888) 694-9627 sarkani@gwu.edu

  13. References • Azizian, N., Mazzuchi, T., Sarkani, S. & Rico, D. (2011). A Framework for Evaluating Technology Readiness, System Quality, and Program Performance of U.S. DoD Acquisitions. Systems Engineering (14)4. • Director, Operational Test and Evaluation FY 2011 Annual Report. • Estefan, J. (2007). Survey of Model-Based Systems Engineering (MBSE) Methodologies. INCOSE MBSE Focus Group. • Government Accountability Office (2010). Joint Strike Fighter Additional Costs and Delays Risk Not Meeting Warfighter Requirements on Time. GAO-10-382. • Government Accountability Office (2010). Joint Strike Fighter Significant Challenges Remain as DoD Restructures Program. GAO-10-520T. • Government Accountability Office (2011). Joint Strike Fighter Restructuring Places Program on Firmer Footing, but Progress is Still Lacking. GAO-11-677T. • Goyette, E., Hein, J., Lamar, B. & Ring, S. (2005). Integrated Architecture-Based Portfolio Investment Strategies. 10th International Command and Control Research and Technology Symposium, The Future of C2.

  14. References continued • Harvey, D. & Logan, P. (2010). Architecting the Problem Space: An Architecture Framework-Based Method for Definition of User Requirements. 4Th Asian-Pacific Conference on Systems Engineering (APCOSE 2010), Keelung, Tawain. • INCOSE (2011) Systems Engineering Handbook (Version 3.2.1). • OMG (2012). MBSE Wiki. Retrieved on April 23, 2012 at http://www.omgwiki.org/MBSE/doku.php • Ramos, A.L., Ferreira, J.V., and Barcelo, J. (2012). Model-Based Systems Engineering: An Emerging Approach for Modern Systems. Systems, Man and Cybernetics, IEEE Transactions on 42(1) 101 – 111. • Rouse, W. B and Sage, A.P (2009). Handbook of Systems Engineering and Management (2nd edition). John Wiley and Sons, Inc., Hoboken, New Jersey. • Vitech (2011). A Primer for Model-Based System Engineering (2nd edition). Vitech Corporation.

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