Recent Submissions

  • An architecture for software engineering gamification 

    Pedreira, Óscar; García, Félix; Piattini, Mario; Cortiñas, Alejandro; Cerdeira-Pena, Ana (Qinghua Daxue Xuebao Bianjibu,Tsinghua University, Editorial Board, 2020-05-07)
    [Abstract] Gamification has been applied in software engineering to improve quality and results by increasing people's motivation and engagement. A systematic mapping has identified research gaps in the field, one of them ...
  • Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information 

    Vázquez, Andrea; López-López, Narciso; Houenou, Josselin; Poupon, Cyril; Mangin, Jean-François; Ladra, Susana; Guevara, Pamela (BioMed Central Ltd., 2020-06-03)
    [Abstract] Background Diffusion MRI is the preferred non-invasive in vivo modality for the study of brain white matter connections. Tractography datasets contain 3D streamlines that can be analyzed to study the main ...
  • Compressed Data Structures for Binary Relations in Practice 

    Quijada Fuentes, Carlos; Penabad, Miguel R.; Ladra, Susana; Gutiérrez Retamal, Gilberto (Institute of Electrical and Electronics Engineers, 2020-01-31)
    [Abstract] Binary relations are commonly used in Computer Science for modeling data. In addition to classical representations using matrices or lists, some compressed data structures have recently been proposed to represent ...
  • An Action Research for Improving the Sustainability Assessment Framework Instruments 

    Condori-Fernandez, Nelly; Lago, Patricia; Rodríguez Luaces, Miguel; Places, Ángeles S. (M D P I AG, 2020-02-24)
    [Abstract] In the last years, software engineering researchers have defined sustainability as a quality requirement of software, but not enough effort has been devoted to develop new methods/techniques to support the ...
  • Efficient processing of raster and vector data 

    Silva-Coira, Fernando; Paramá, José R.; Ladra, Susana; López, Juan R.; Gutiérrez, Gilberto (Public Library of Science, 2020-01-10)
    [Abstract] In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we ...

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