— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
models evolve at different levels of abstraction, from the requirements specification to development of the source code. The models underlying this process are related and their ...
Generation of traces from a simulation model and their analysis is a powerful and common mean to debug simulation models. In this paper, we define a measure of progress for simul...
Dependable properties such as self-stabilization are crucial requirements in sensor networks. One way to achieve these properties is to utilize the vast literature on distributed ...
Performance is an important quality attribute that needs to be and managed proactively. Abstract models of the system are not very useful if they do not produce reasonably accurat...
Gopalakrishna Raghavan, Ari Salomaki, Raimondas Le...