Dr. James N. Elele Profile

Dr. James N. Elele

Senior Engineer at Naval Air Systems Command

SPIE Involvement:

Author

Proceedings Article | 4 May 2012 Paper

Methodology for designing M&S that integrates V&V processes and documentation

James Elele, Nancy Gould

Proceedings Volume 8403, 84030G (2012) https://doi.org/10.1117/12.921436

KEYWORDS: Data modeling, Process modeling, Modeling and simulation, Calibration, Databases, Performance modeling, Defense and security, Software, Software development, Defense systems

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Proceedings Article | 21 May 2011 Paper

Applying risk-based M&S VV&A techniques to test and laboratory facilities

Jeremy Smith, James Elele, David Hall, Charles Pedriani

Proceedings Volume 8060, 80600K (2011) https://doi.org/10.1117/12.885251

KEYWORDS: Analytical research, Error analysis, Standards development, Transponders, Signal processing, Curium, Defense and security, Safety, Radar, Data modeling

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Proceedings Article | 21 May 2011 Paper

Lessons learned in the process of conducting the verification and validation of live virtual and constructive distributed environment

James Elele, David Turner

Proceedings Volume 8060, 80600L (2011) https://doi.org/10.1117/12.886513

KEYWORDS: Modeling and simulation, Computer architecture, Instrument modeling, Collision avoidance, Data communications, Virtual reality, Defense and security, Safety, Environmental sensing, Computer simulations

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Proceedings Article | 1 May 2010 Paper

Risk-based verification, validation, and accreditation process

James Elele, Jeremy Smith

Proceedings Volume 7705, 77050E (2010) https://doi.org/10.1117/12.852419

KEYWORDS: Standards development, Error analysis, Data modeling, Process modeling, Systems modeling, Modeling and simulation, Samarium, Systems engineering, Defense and security, Decision support systems

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Proceedings Article | 30 April 2009 Paper

Assessing risk levels of verification, validation, and accreditation of models and simulations

James Elele

Proceedings Volume 7348, 73480C (2009) https://doi.org/10.1117/12.821865

KEYWORDS: Data modeling, Error analysis, Defense and security, Modeling and simulation, Samarium, Safety, Coastal modeling, Systems modeling, Process modeling, Document management

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This paper presents a new methodology for assessing the risks associated with the level of Verification, Validation and Accreditation (VV&A) of a given Model and/or Simulation when used in support of major decisions. As stated by DoD Instruction 5000.61 , "It is DoD policy that: Models and Simulations (M&S) used to support major DoD decision-making organizations and processes shall be accredited for that specific purpose by the DoD Component M&S Application Sponsor." This Instruction applies to "All models and simulations developed, used, or managed by the DoD Components after the effective date of this Instruction." The requirements cited above have set the need for VV&A of M&S at the forefront of concerns for DoD and DoD-Components acquisition personnel. When an acquisition program involves a large number of models, cost associated with VV&A can become enormous. There is a need therefore to have a systematic approach for assessing and prioritizing the risks associated with the level to which individual models have been verified, validated, and accredited. To provide decision makers with a judicious way for determining the risks associated with using a given M&S, and the extent to which VV&A work will be needed to meet these requirements, we have developed a methodology for assessing the risks associated with the level of VV&A of a given M&S when used to support decision-making. This approach parallels the formal DoD Risk Assessment procedure, but with application to the use of M&S, as it relates to VV&A. Risks associated with the levels of VV&A are evaluated and assessed based on the following criteria: - Likelihood of the M&S being inaccurate and/or inappropriate for the application. - Consequences of the M&S being inaccurate and/or inappropriate for the application. - Importance of the (acquisition) decision supported by the M&S. - Level of Reliance of the (acquisition) decision on the M&S. The assessment results are used to classify individual models into three risk categories (Red for High Risk, Yellow for Medium Risk, and Green for Low Risk). All models classified as High Risk, are subjected to further analysis and recommendations made as to further work needed to reduce the risk to an acceptable level through formal VV&A. Models assessed as Medium Risk are also further evaluated and recommendations made with regards to the need for further risk mitigation. Models rated Low Risk are either not of primary importance in supporting the (acquisition) decisions being made, or they may have been assessed to have been satisfactorily verified, validated, and possibly accredited to an acceptable level.

Conference Committee Involvement (7)

Modeling and Simulation for Defense Systems and Applications X

21 April 2015 | Baltimore, MD, United States

Modeling and Simulation for Defense Systems and Applications IX

6 May 2014 | Baltimore, MD, United States

Modeling and Simulation for Defense Systems and Applications VIII

30 April 2013 | Baltimore, Maryland, United States

Modeling and Simulation for Defense Systems and Applications VII

24 April 2012 | Baltimore, Maryland, United States

Modeling and Simulation for Defense Systems and Applications VI

26 April 2011 | Orlando, Florida, United States

Showing 5 of 7 Conference Committees

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