We address the problem of model checking hybrid systems which exhibit nontrivial discrete behavior and thus cannot be treated by considering the discrete states one by one, as most...
Werner Damm, Stefan Disch, Hardi Hungar, Jun Pang,...
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
Pervasive computing applications are tedious to develop because they combine a number of problems ranging from device heterogeneity, to middleware constraints, to lack of programm...
Charles Consel, Wilfried Jouve, Julien Lancia, Nic...
We introduce eCAT, a tool that supports deriving test cases semi-automatically from goal-based analysis diagrams, generates meaningful test inputs based on agent interaction ontol...
In this paper, we present an approach for automatic synthesis of System on Chip (SoC) multiprocessor architectures for applications expressed as process networks. Our approach is ...
Basant Kumar Dwivedi, Anshul Kumar, M. Balakrishna...