Catálogo de publicaciones - libros

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.

Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computational aspects. Coordination refers to the ways the independent active pieces of a program (e.g. a process, a task, a thread, etc.) communicate and synchronise with each other. We review various approaches to introducing probabilistic or stochastic features in coordination languages. The main objective of such a study is to develop a semantic basis for a quantitative analysis of systems of interconnected or interacting components, which allows us to address not only the functional (qualitative) aspects of a system behaviour but also its non-functional aspects, typically considered in the realm of performance modelling and evaluation.