Calling context enhances program understanding and dynamic analyses by providing a rich representation of program location. Compared to imperative programs, objectoriented program...
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globallycomplete probabilistic deduction with conditional constraints ...
In this paper, we propose a formal analysis approach to estimate the expected (average) data cache access time of an application across all possible program inputs. Towards this g...
We aim at finding a set of timing parameters for which a given timed automaton has a “good” behavior. We present here a novel approach based on the decomposition of the parame...