The paradigm of evolution/observation is based on the idea that a computing device can be obtained by combining a basic system and an observer that transforms the evolution of the ...
Matteo Cavaliere, Pierluigi Frisco, Hendrik Jan Ho...
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
The synthesis of object behaviour from scenarios is a well-known and important issue in the transition from system analysis to system design. We describe a model transformation pro...
Abstract. Since testing is inherently incomplete, test selection is of vital importance. Coverage measures evaluate the quality of a test suite and help the tester select test case...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...