Abstract. In service-oriented computing, correlations are used to deter-mine links between service providers and users. A correlation contains values for some variables received in a communication. Subsequent mes-sages will only be received when they match the values of the correlation. Correlations allow for the implementation of sessions, local shared mem-ory, gradually provided input, or input provided in arbitrary order – thus presenting a challenge to static analysis. In this work, we present a static analysis in relational form of correlations. It is defined in terms of a fragment of the process calculus COWS that itself builds on the Fusion Calculus. The analysis is implemented and practical experiments allow us to automatically esta...
Abstract: The paper shows that characterizing the causal relationship between significant events is ...
The correlation analysis enables us to have an idea about the degree & direction of the relationshi...
The paper shows that characterizing the causal relationship between significant events is an importa...
AbstractWe introduce a formal framework for studying the mechanism of correlation in orchestration l...
We introduce a formal framework for studying the mechanism of correlation in orchestration languages...
Abstract. Correlation sets define a powerful mechanism for routing in-coming communications to the c...
AbstractCorrelation is an important mechanism used in orchestration languages for Web Services. It e...
Abstract. When a service engages in multiple interactions concurrently, it is generally required to ...
Given a set of data objects, correlation computing refers to the problem of efficiently finding grou...
When a service engages in multiple interactions concurrently, it is generally required to correlate ...
International audienceStatic analyses aim at inferring semantic properties of programs. We distingui...
Static analysis of a program allows to predict the properties of its executions without actually exe...
Mass data which learned as a result of scientific and practical experiments, are mostly probabilisti...
International audienceFor the design of real-time embedded systems, analysis of performance and reso...
The study of the interdependence relationships of the variables of an examined system is of great im...
Abstract: The paper shows that characterizing the causal relationship between significant events is ...
The correlation analysis enables us to have an idea about the degree & direction of the relationshi...
The paper shows that characterizing the causal relationship between significant events is an importa...
AbstractWe introduce a formal framework for studying the mechanism of correlation in orchestration l...
We introduce a formal framework for studying the mechanism of correlation in orchestration languages...
Abstract. Correlation sets define a powerful mechanism for routing in-coming communications to the c...
AbstractCorrelation is an important mechanism used in orchestration languages for Web Services. It e...
Abstract. When a service engages in multiple interactions concurrently, it is generally required to ...
Given a set of data objects, correlation computing refers to the problem of efficiently finding grou...
When a service engages in multiple interactions concurrently, it is generally required to correlate ...
International audienceStatic analyses aim at inferring semantic properties of programs. We distingui...
Static analysis of a program allows to predict the properties of its executions without actually exe...
Mass data which learned as a result of scientific and practical experiments, are mostly probabilisti...
International audienceFor the design of real-time embedded systems, analysis of performance and reso...
The study of the interdependence relationships of the variables of an examined system is of great im...
Abstract: The paper shows that characterizing the causal relationship between significant events is ...
The correlation analysis enables us to have an idea about the degree & direction of the relationshi...
The paper shows that characterizing the causal relationship between significant events is an importa...