This paper presents a methodology and a set of tools for the modelling, validation and testing of Web service composition, conceived and developed within the French national projec...
Ana R. Cavalli, Tien-Dung Cao, Wissam Mallouli, El...
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
Model-Driven Architecture is an approach of the OMG, its objective is to tackle problems such as: the high availability that a software product requires to be ready for use, the h...
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Abstract. The increasing adoption of MDD (Model Driven Development) techniques favored the use of large models of different types. It turns out that when the modeled system gets la...