Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. A...
While Enterprise Architecture Modeling (EAM) methodologies become more and more popular, an EAM methodology tailored to the needs of virtual organizations (VO) is still to be devel...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Many architecture description languages (ADLs) have been proposed to model, analyze, configure, and deploy complex software systems. To face this diversity, extensible ADLs (or AD...
We developed XVCL (XML-based Variant Configuration Language), a method and tool for product lines, to facilitate handling variants in reusable software assets (such as architectur...