[PDF] Top 20 Action semantics applied to model driven engineering

... the semantics of the production line language and the formal graph transformation approach used in [Rom07] the semantics for a machine and operator are an action that can be performed when the ... See full document

... The imperative class definition semantics also enable Ruby to have open classes as seen in Smalltalk [1]. All classes in Ruby, including the core Ruby classes, can be subject to additional definition, including ... See full document

... The neuGRID project is the first project within the neu- roscientific community to use the Grid technology. Pipelines manipulated in neuGRID are computationally intensive as they enact a mixture of both short and long ... See full document

... GEIM model, here “--<reliability::level::3>--“, the corresponding architectural construct is selected from the framework ...are applied by rewriting logic onto the original GEIM ...thus ... See full document

... User Model for describing a typical user. This kind of model can be used to set general parameters ...been applied, ongoing UX measurement, monitoring and improvement are ... See full document

... aspect-oriented model driven code generation topics are modeling notations and process, model composition and interaction management, aspect-oriented code generation, code generation from ... See full document

... a model is developed, code is generated and/or some tool is used is ...software engineering more generally ...software engineering methods are influenced by the social and organizational context in ... See full document

... We argue that a significant failing of recent work on data-driven paraphrasing is the weak definition of paraphrases as being more-or-less equivalent. In this paper, we show how a clear concept of se- mantics can ... See full document

... knowledge engineering approaches like the one described by Chan [7] and also pure ontology languages like RDF ...embedded semantics, ca- pable of representing domains along the proposition by Evermann and ... See full document

... OVM Model: Orthogonal Variability Model (OVM) [30] is used to document and to express variability on Software Product ...OVM model, we found only the variable item (VP) and their possible instances ... See full document

... to model transformations how- ever as the name suggests, it is based on graphs as first class ...a model to a graph before using it with graph ...the semantics are specified using a set of ... See full document

... domain model is combined with the platform model that we do not present in this paper, containing destination platform specification defined by the ... See full document

... 1. Introduction. Cloud Computing is an emerging model for distributed systems. It refers both to applications delivered as services and to hardware, middleware and other software systems needed to provide them. ... See full document

... to model the wind-excited free surface pressure. By adopting this model, Touboul et al [6] and Kharif et ...FNPT model can achieve acceptable accuracy in many ... See full document

... automating model manipulation when possible, while reducing the number of errors in this ...in model-driven engineering (MDE) where it is used to implement model refactoring, ... See full document

... benchmark model that meets all ABM ...benchmark model and bench- marks the performance characteristics of the FLAME GPU simulator as an example of a parallel framework for ...this model is to provide ... See full document

... This section introduces the basic concepts of decision-theoretic rough set model [15-17]. Given an information system M = ( , U At V f , , ) , where Ω = { , ω ω 1 2 , … , ω s } denotes the set has s different ... See full document

... The paper builds two types of discourse driven se- mantic language models with four different lan- guage model implementations that make use of neural embeddings for semantic frames. We use perplexity and a ... See full document

... frequency- driven paradigm for robust distributional semantics in terms of semantically cohe- sive lineal constituents, or ...segmentation model to optimally par- tition a sentence into lineal ... See full document

... As a solution to this problem, we are investigat- ing ways to reduce the number of parameters, for example using tensor decomposition techniques (Kolda and Bader, 2009). It may also be possi- ble to reduce the size of ... See full document