Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying simulation model. This metamodel can be validated through various statistics; this article studies (1) the coefficient of determination (R-square) for generalized least squares, and (2) a lack-of-fit F-statistic origin...

We consider in this paper that a DSL (Domain Specific Language) may be defined by a set of models. A typical DSL is the ATLAS Transformation Language (ATL). An ATL program transforms a source model (conforming to a source metamodel) into a target model (conforming to a target metamodel). Being itself a model, the transformation program conforms to the ATL metamodel. The notion of metamodel is t...

UML notations require adaptation for applications such as Information Systems (IS). Thus we have defined IS-UML. In this article, we propose an extension to this language to deal with functional aspects of IS. We use two views to specify IS transactions: the first one is defined as a combination of behavioural UML diagrams (collaboration and state diagrams), and the second one is based on the d...

Model transformation has become one of the most focused research field, motivated by for instance the OMG’s Model-Driven Architecture (MDA). Metamodeling is a central technique in the design of visual languages, and it reuses existing domains by extending the metamodel level. Metamodel-based software development requires the transformation of the models between various stages. These transformat...

Within the constant evolution observed in IT/IS area, new processes emerged faced to new customer’s requirements and also due to new trends in software engineering community, such as unified or agile processes. Despite the great set of available tools in process and project management, still there is a real gap between “process” and “project” management approaches and respective tools. To assis...

Developers of model transformations and other model-driven development (MDD) mechanisms that manipulate models often work at the metamodel level. The complexity of the UML metamodel can hinder the development of UML-based MDD technologies. In this paper, we identify some of the current barriers to understanding, using and evolving the UML 2.0 metamodel and present ideas on how to simplify these...

This paper presents the application and validation of a UML metamodel developed for the requirements modeling in multi-agent systems projects. In this paper we describe the metamodel and its application into the modeling of an intelligent tutor system called AME-A. We also demonstrate the way we intend to validate this metamodel. Keywords-Metamodels; Stereotypes; Agents; Agent Roles; AgentRole_...

Like every other software artifact, metamodels are subject to change even in later phases of the software life cycle. In this problem description paper, we first classify metamodel changes. We then elaborate on the challenges of metamodel evolution. The main challenges are the tight coupling of code to metamodels and the pervasiveness of metamodel dependencies. As this is a problem description ...

To support EU policy, indicators of pesticide leaching at the European level are required. For this reason, a metamodel of the spatially distributed European pesticide leaching model EuroPEARL was developed. EuroPEARL considers transient flow and solute transport and assumes Freundlich adsorption, first-order degradation and passive plant uptake of pesticides. Physical parameters are depth depe...

In Model-Driven Engineering, models can evolve over time or vary along dimensions such as products. Such evolution results in a set of related models called model family. A model family can be captured with a “150% model” that merges the family members, while enabling the extraction of the individual models. In this context however, a 150% model may no longer conform to the original metamodel o...