AbstractWe consider the problem of determining when two dataflow networks with uninterpreted nodes always have the same input-output behavior. We define a set of behavior-preserving transformations on networks and show that this set is “schematologically complete”; i.e., networks have the same input-output behavior under all interpretations if and only if they can be transformed into isomorphic networks. As a by product, we obtain a polynomial algorithm for deciding schematological equivalence of dataflow networks
AbstractWe analyze the relative expressive power of variants of the indeterminate fair merge operato...
. We specify the black box behavior of dataflow components by characterizing the relation between th...
When using multiple models to describe a (software) system, one can use a network of model transform...
AbstractWe consider the problem of determining when two dataflow networks with uninterpreted nodes a...
AbstractWe provide a schematologically complete set of transformations for partially interpreted dat...
This thesis establishes that there are different kinds of indeterminacy in an asynchronous distribu...
We investigate the power of Kahn-style dataflow networks, with processes that may exhibit indetermi...
We discuss the problem of finding fully abstract semantic models for nondeterministic dataflow netw...
We have defined a transformation γ from data flow networks to process algebras specifications. The b...
A dataflow network consists of nodes that communicate over perfect unbounded FIFO channels. For dat...
In this paper we discuss a model for dataflow networks containing indeterminate operators and the a...
Network algebra (NA) is proposed as a uniform algebraic framework for the description (and analysis...
We develop an algebraic theory of synchronous dataflow networks. First, a basic algebraic theory of ...
AbstractWe introduce the notion of computational network (CN) which is a general model of an arbitra...
This paper presents a transformation scheme from Boolean-controlled dataflow (BDF) networks to Petri...
AbstractWe analyze the relative expressive power of variants of the indeterminate fair merge operato...
. We specify the black box behavior of dataflow components by characterizing the relation between th...
When using multiple models to describe a (software) system, one can use a network of model transform...
AbstractWe consider the problem of determining when two dataflow networks with uninterpreted nodes a...
AbstractWe provide a schematologically complete set of transformations for partially interpreted dat...
This thesis establishes that there are different kinds of indeterminacy in an asynchronous distribu...
We investigate the power of Kahn-style dataflow networks, with processes that may exhibit indetermi...
We discuss the problem of finding fully abstract semantic models for nondeterministic dataflow netw...
We have defined a transformation γ from data flow networks to process algebras specifications. The b...
A dataflow network consists of nodes that communicate over perfect unbounded FIFO channels. For dat...
In this paper we discuss a model for dataflow networks containing indeterminate operators and the a...
Network algebra (NA) is proposed as a uniform algebraic framework for the description (and analysis...
We develop an algebraic theory of synchronous dataflow networks. First, a basic algebraic theory of ...
AbstractWe introduce the notion of computational network (CN) which is a general model of an arbitra...
This paper presents a transformation scheme from Boolean-controlled dataflow (BDF) networks to Petri...
AbstractWe analyze the relative expressive power of variants of the indeterminate fair merge operato...
. We specify the black box behavior of dataflow components by characterizing the relation between th...
When using multiple models to describe a (software) system, one can use a network of model transform...