— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
Abstract. In their recent book, Mens and Demeyer state that ModelDriven Engineering introduces additional challenges for controlling and managing software evolution. Today, tools e...
Louis M. Rose, Dimitrios S. Kolovos, Richard F. Pa...
Given a model and a property expressed in temporal logic, a model checker normally produces a counterexample in case the model does not satisfy the property. This counterexample i...
Most AI diagnostic reasoning approaches model components and but not their interconnections, and when they do model interconnections, they model the possibility that a connection ...
Cognitive modeling techniques provide a way of evaluating user interface designs, based on what is known about human cognitive strengths and limitations. Cognitive modelers face a...
Robert St. Amant, Sean P. McBride, Frank E. Ritter