Dr. Ross Gore

Dr. Ross Gore

I am Research Associate Professor at Old Dominion University My work focuses on data science and predictive analytics. I am is passionate about extracting useful information from new and diverse data sources to help inform decision making.

Validating evolving simulations in COERCE

Published in Computational Science–ICCS 2007: 7th International Conference, Beijing, China, May 27-30, 2007, Proceedings, Part I 7, 2007

We seek to increase user confidence in simulations as they are adapted to meet new requirements. Our approach includes formal representation of uncertainty, lightweight validation, and novel techniques for exploring emergent behavior. Uncertainty representation, using formalisms such as Dempster-Shafer theory, can capture designer insight about uncertainty, enabling formal analysis and improving communication with decision and policy makers. Lightweight validation employs targeted program analysis and automated regression testing to maintain user confidence as adaptations occur. Emergent behavior validation exploits the semi-automatic adaptation capability of COERCE to make exploration of such behavior efficient and productive. We describe our research on these three technologies and their impact on validating dynamically evolving simulations.

Recommended citation: Reynolds, Paul F, Spiegel, Michael, Liu, Xinyu, Gore, Ross. (2007). "Validating evolving simulations in COERCE." 2007 International Computational Science Conference (ICCS), Beijing, China, May 27-30, 2007. 1238-1245.
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