Persona:
Cerrada Somolinos, Carlos

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0000-0002-8591-6581
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Cerrada Somolinos
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Carlos
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2014 - 20172
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Fecha de inicio: 2014 × Tipo: artículo ×

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Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    A scalable approach to exact model and commonality counting for extended feature models.
    (Institute of Electrical and Electronics Engineers (IEEE), 2014-05-29) Fernández Amoros, David José; Heradio Gil, Rubén; Cerrada Somolinos, José Antonio; Cerrada Somolinos, Carlos
    A software product line is an engineering approach to efficient development of software product portfolios. Key to the success of the approach is to identify the common and variable features of the products and the interdependencies between them, which are usually modeled using feature models. Implicitly, such models also include valuable information that can be used by economic models to estimate the payoffs of a product line. Unfortunately, as product lines grow, analyzing large feature models manually becomes impracticable. This paper proposes an algorithm to compute the total number of products that a feature model represents and, for each feature, the number of products that implement it. The inference of both parameters is helpful to describe the standarization/parameterization balance of a product line, detect scope flaws, assess the product line incremental development, and improve the accuracy of economic models. The paper reports experimental evidence that our algorithm has better runtime performance than existing alternative approaches.
  • Miniatura
    Publicación
    An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
    (MDPI, 2017-10-20) Duque Domingo, Jaime; Valero Rodríguez, Enrique; Cerrada Somolinos, Carlos; Cerrada Somolinos, José Antonio
    This work presents an Indoor Positioning System to estimate the location of people navigating in complex indoor environments. The developed technique combines WiFi Positioning Systems and depth maps, delivering promising results in complex inhabited environments, consisting of various connected rooms, where people are freely moving. This is a non-intrusive system in which personal information about subjects is not needed and, although RGB-D cameras are installed in the sensing area, users are only required to carry their smart-phones. In this article, the methods developed to combine the above-mentioned technologies and the experiments performed to test the system are detailed. The obtained results show a significant improvement in terms of accuracy and performance with respect to previous WiFi-based solutions as well as an extension in the range of operation.