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Ítem Fiesta Toolkit: Model-Driven Software Product Lines in Practice(2010-09-01) Romero, AndresModel-Driven Software Product Lines (MD-SPLs) are those product lines whose members are created by using models and model transformations as first-class artifacts. In this paper we present the Fiesta toolkit, a set of tools to assist product line architects and products designers when creating MD-SPLs. The main characteristic of our toolkit is that it facilitates the creation of fine-grained configurations of products, i.e. configurations at the level of each element in models that will be transformed into product line members. For that, the toolkit includes a set of tools for the creation of MD-SPL projects, feature models, constraint models, binding models, OCL-type expressions to validate binding models against constraint models, and decision models.Ítem Automated reasoning for derivation of products in MD-SPLE(IEEE, 2011-05-04) Arboleda Jimenez, Hugo FernandoThis article presents a strategy that aims to support model-oriented software product line architects on making the decisions required to derive products. Together with the strategy, we present a tool that uses the power of constraint programming to create and use decision models. The models make it possible to relate model transformation rules and product line variants (alternatives) in order to enable the selection of the necessary rules according to the variants selected by a product designer. The greatest innovation of our contribution is that we provide architects with a tool that takes into account the possible interactions between variants of a product line and makes it possible to model the decisions required to derive products reusing existing model transformation rules as much as possible. © 2011 IEEE.Ítem A framework for the generation and management of self-adaptive enterprise applications(IEEE, 2015-09-21) Tamura Morimitsu, GabrielDemand for self-adaptive enterprise applications has been on the rise over the last years. Such applications are expected to satisfy context-dependent quality requirements in varying execution conditions. Their dynamic nature constitutes challenges with respect to their architectural design and development, and the guarantee of the agreed quality scenarios at runtime. In this paper we present the constituting elements of Shift, a framework that integrates (i) facilities and mechanisms for managing self-adaptive enterprise applications, (ii) automated derivation of self-adaptive enterprise applications and their respective monitoring infrastructure, and (iii) decision support for the assisted recomposition of self-adaptive applications.