Enviaments recents

  • Ontology-based context modeling in service-oriented computing: A systematic mapping 

    Cabrera Béjar, Óscar Jair; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Elsevier, 2017-05-10)
    Article
    Accés restringit per política de l'editorial
    Context: Service-oriented computing and context-aware computing are two consolidated paradigms that are changing the way of providing and consuming software services. Whilst service-oriented computing is based on ...
  • Enabling IoT ecosystems through platform interoperability 

    Bröring, Arne; Schmid, Stefan; Schindhelm, Corina-Kim; Khelil, Abdelmajid; Kabisch, Sebastian; Kramer, Denis; Le Phuoc, Danh; Mitic, Jelena; Anicic, Darko; Teniente López, Ernest (2017-01-01)
    Article
    Accés obert
    Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need to negotiate access individually and adapt to the platform-specific API and information models. ...
  • The crowd in requirements engineering: the landscape and challenges 

    Groen, Eduard C.; Seyff, Norbert; Ali, Raian; Dalpiaz, Fabiano; Doerr, Joerg; Guzman, Emitza; Hosseini, Mahmood; Marco Gómez, Jordi; Oriol Hilari, Marc; Perini, Anna; Stade, Melanie (2017-03-28)
    Article
    Accés obert
    Crowd-based requirements engineering (CrowdRE) could significantly change RE. Performing RE activities such as elicitation with the crowd of stakeholders turns RE into a participatory effort, leads to more accurate ...
  • Simplification of UML/OCL schemas for efficient reasoning 

    Oriol Hilari, Xavier; Teniente López, Ernest (2017-06-01)
    Article
    Accés restringit per política de l'editorial
    Ensuring the correctness of a conceptual schema is an essential task in order to avoid the propagation of errors during software development. The kind of reasoning required to perform such task is known to be exponential ...
  • ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime 

    Knauss, Alessia; Damian, Daniela; Franch Gutiérrez, Javier; Rook, Angela; Müller, Haussi A.; Thomo, Alex (2016-02)
    Article
    Accés restringit per política de l'editorial
    Context: Runtime uncertainty such as unpredictable operational environment and failure of sensors that gather environmental data is a well-known challenge for adaptive systems. Objective: To execute requirements that ...
  • A case study for measuring informal learning in PLEs 

    García Peñalvo, Francisco Javier; Conde García, Miguel Ángel; Alier Forment, Marc; Colomo Palacios, Ricardo (2014-04-21)
    Article
    Accés obert
    The technological support for learning and teaching processes is constantly changing. Information and Communication Technologies (ICT) applied to education, cause changes that affect the way in which people learn. This ...
  • Implementation and design of a service-based framework to integrate personal and institutional learning environments 

    Conde González, Miguel Angel; García Peñalvo, Francisco Javier; Alier Forment, Marc; Mayol Sarroca, Enric; Fernández Llamas, Camino (2014-08-01)
    Article
    Accés obert
    The landscape of teaching and learning has changed in recent years because of the application of Information and Communications technology. Among the most representative innovations in this regard are Learning Management ...
  • Preface to the CIbSE 2016 Special Issue 

    Cernuzzi, Luca; López Cuesta, Lidia; Panach, Ignacio; Solari, Martín (Centro Latinoamericano de Estudios en Informática, 2016-12-01)
    Article
    Accés obert
    This special issue of the CLEI Electronic Journal consists of an invited paper on 25 years of Model-Driven Web Engineering as well as extended and revised versions of the Selected Papers presented at the XIX Ibero-American ...
  • Dimensional enrichment of statistical linked open data 

    Varga, Jovan; Vaisman, Alejandro; Romero Moral, Óscar; Etcheverry, Lorena; Bach Pedersen, Torben; Thomsen, Christian (2016-10-01)
    Article
    Accés restringit per política de l'editorial
    On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-prepared data. However, initiatives like Open Data and Open Government bring new and publicly available data on the web ...
  • A unified view of data-intensive flows in business intelligence systems : a survey 

    Jovanovic, Petar; Romero Moral, Óscar; Abelló Gamazo, Alberto (2016-12)
    Article
    Accés restringit per política de l'editorial
    Data-intensive flows are central processes in today’s business intelligence (BI) systems, deploying different technologies to deliver data, from a multitude of data sources, in user-preferred and analysis-ready formats. ...

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