UML state machines are widely used for modeling software behavior. However state-crosscutting behaviors, such as synchronization or execution history dependence, are hard to model...
We propose a technique for pattern classification in symbolic streams via selective erasure of observed symbols, in cases where the patterns of interest are represented as Probabil...
—One problem of generating a model to recognize any string is how to generate one that is generalized enough to accept strings with similar patterns and, at the same time, is spe...
In this paper, we describe a symbolic synthesis method which given an algebraic expression that specifies a bitstream function f, constructs a (minimal) Mealy machine that realise...
Abstract. Exploration algorithms are relevant to the industrial practice of gentest cases from an abstract state machine whose runs define the predicted behavior of the software s...