Browsing by Subject "Scalability"

Now showing 1 - 3 of 3
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    Efficient Execution of ATL Model Transformations Using Static Analysis and Parallelism
    (Institute of Electrical and Electronics Engineers [Society Publisher], 2022) Sánchez Cuadrado, Jesús; Burgueño, Loli; Wimmer, Manuel; Vallecillo, Antonio; Informática y Sistemas
    Although model transformations are considered to be the heart and soul of Model Driven Engineering (MDE), there are still several challenges that need to be addressed to unleash their full potential in industrial settings. Among other shortcomings, their performance and scalability remain unsatisfactory for dealing with large models, making their wide adoption difficult in practice. This paper presents A2L, a compiler for the parallel execution of ATL model transformations, which produces efficient code that can use existing multicore computer architectures, and applies effective optimizations at the transformation level using static analysis. We have evaluated its performance in both sequential and multi-threaded modes obtaining significant speedups with respect to current ATL implementations. In particular, we obtain speedups between 2.32x and 38.28x for the A2L sequential version, and between 2.40x and 245.83x when A2L is executed in parallel, with expected average speedups of 8.59x and 22.42x, respectively.
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    Morsa: A Scalable Approach for Persisting and Accessing Large Models
    (Springer, 2011) Espinazo Pagán, Javier; Sánchez Cuadrado, Jesús; García Molina, Jesús; Informática y Sistemas
    Applying Model-Driven Engineering (MDE) in industrial-scale systems requires managing complex models which may be very large. These models must be persisted in a scalable way that allows their manipulation by client applications without fully loading them. In this paper we propose Morsa, an approach that provides scalable access to large models through load on demand; model persistence is supported by a NoSQL database. We discuss some load on demand algorithms and database design alternatives. A prototype that integrates transparently with EMF is presented and its evaluation demonstrates that it is capable of fully loading large models with a limited amount of memory. Moreover, a benchmark has been executed, exhibiting better performance than the EMF XMI file-based persistence and the most representative model repository, CDO.
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    Open Access
    Requirements engineering tools: an evaluation
    (IEEE, Computer Society, 2021-04-19) Carrillo de Gea, Juan Manuel; Ebert, Christof; Hosni, Mohamed; Vizcaíno, Aurora; Nicolás, Joaquín; Fernández Alemán, José Luis; Informática y Sistemas
    If you don't know where you are going, any road will get you there." Alice from Alice in Wonderland was told this obvious piece of wisdom when she asked for directions. We all know this wisdom from navigating through the fog of insufficient requirements when working on projects. Clear goals can be achieved; unclear goals are sure to be missed. Requirements engineering (RE) is the disciplined and systematic approach (i.e., "engineering") for elicitation, documentation, analysis, agreement, verification, and management of requirements while considering market, technical, and economic goals. "Disciplined" is about culture, and "systematic" demands process and tools, which is our focus here.