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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 The George Washington University EMSE PhD Candidate Dr. Thomas Mazzuchi, D. Sc. Dr. Shahram Sarkani, Ph.D., P.E. May 16, 2012

Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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Page 1: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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-CarverFederal Aviation Administration – Electrical Computer EngineerThe George Washington University EMSE PhD Candidate

Dr. Thomas Mazzuchi, D. Sc.Dr. Shahram Sarkani, Ph.D., P.E.

May 16, 2012

Page 2: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 3: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 4: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 5: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 6: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 7: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

Conceptual Model

Page 8: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 9: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

Analysis Framework

Multi-Agency/Multi-Stakeholder R&D/S&T Project• Joint Strike Fighter (J-35)

• STOVL• CV• CTOL

Page 10: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

Notional Application

Page 11: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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

Page 12: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

Thank You!

Contact Information

Magda Batista-Carver(202) 385-6119

[email protected]

Thomas A. Mazzuchi, D.Sc.(202) 994-7541

[email protected]

Shahram Sarkani, Ph.D., P.E(888) 694-9627

[email protected]

Page 13: Model Based System Engineering Approach to Managing Requirements in a Multi- Agency/Multi-Stakeholder Environment of Science and Technology/Research and

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.

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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.