Recent Submissions

  • A preliminary investigation of developer profiles based on their activities and code quality: who does what? 

    Aguilera, Cristina; Albors Zumel, Laia; Antoñanzas, Jesús M.; Lenarduzzi, Valentina; Martínez Fernández, Silverio Juan; Rabanaque Rodríguez, Sonia (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    Developers work on different tasks in different conditions based on individual technical skills and personal habits. Identifying developer groups by mining their repositories is key for various tasks ranging from understanding ...
  • RosneT: A block tensor algebra library for out-of-core quantum computing simulation 

    Sánchez Ramírez, Sergio; Conejero Bañón, Francisco Javier; Lordan Gomis, Francesc; Queralt Calafat, Anna; Cortés, Toni; Badia Sala, Rosa Maria; García Sáez, Artur (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target system Tensor Networks emerge as an optimal ...
  • The use of iStar in situational method engineering: an ongoing study 

    Ruiz, Marcela; Ralyté, Jolita; Franch Gutiérrez, Javier (CEUR-WS.org, 2020)
    Conference report
    Open Access
    Context: Situational Method Engineering (SME) is the discipline that aims at the systematic definition of methods adapted to specific contexts of use (situations). The use of goal-oriented methods for supporting SME is ...
  • Using i* to describe data structures 

    Franch Gutiérrez, Javier (CEUR-WS.org, 2020)
    Conference report
    Open Access
    This paper explores the use of the i* language as a notation to describe data structures to be used in classical imperative programs written in e.g. Java or C#. Data structures are described at two levels of abstraction, ...
  • Merging datasets for emotion analysis 

    de Arriba Serra, Ariadna; Oriol Hilari, Marc; Franch Gutiérrez, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Context. Applying sentiment analysis is in general a laborious task. Furthermore, if we add the task of getting a good quality dataset with balanced distribution and enough samples, the job becomes more complicated. ...
  • Data-driven agile requirements elicitation through the lenses of situational method engineering 

    Franch Gutiérrez, Javier; Henriksson, Aron; Ralyté, Jolita; Zdravkovic, Jelena (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Ubiquitous digitalization has led to the continuous generation of large amounts of digital data, both in organizations and in society at large. In the requirements engineering community, there has been a growing interest ...
  • Which design decisions in AI-enabled mobile applications contribute to greener AI? 

    Creus Castanyer, Roger; Martínez Fernández, Silverio Juan; Franch Gutiérrez, Javier (2021)
    Conference report
    Open Access
    Background: The construction, evolution and usage of complex artificial intelligence (AI) models demand expensive computational resources. While currently available high-performance computing environments support well this ...
  • How tertiary studies perform quality assessment of secondary studies in software engineering 

    Costal Costa, Dolors; Farré Tost, Carles; Franch Gutiérrez, Javier; Quer, Carme (Curran Associates, Inc., 2021)
    Conference report
    Open Access
    Context: Tertiary studies are becoming increasingly popular in software engineering as an instrument to synthesise evidence on a research topic in a systematic way. In order to understand and contextualize their findings, ...
  • Applying transfer learning to sentiment analysis in social media 

    de Arriba Serra, Ariadna; Oriol Hilari, Marc; Franch Gutiérrez, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Context: Sentiment analysis is an NLP technique that can be used to automatically obtain the sentiment of a crowd of end-users regarding a software application. However, applying sentiment analysis is a difficult task, ...
  • Goal-oriented models for teaching and understanding data structures 

    Franch Gutiérrez, Javier; Ruiz, Marcela (Springer Nature, 2021)
    Conference report
    Open Access
    Most computer science curricula include a compulsory course on data structures. Students are prone to memorise facts about data structures instead of understanding the essence of underlying concepts. This can be explained ...
  • Extending iStar2.0 metamodel to define data structures 

    Franch Gutiérrez, Javier (CEUR-WS.org, 2021)
    Conference report
    Open Access
    iStar2.0 provides a recommendation for the core constructs defined in the i* language, which are articulated around a metamodel. When applying iStar2.0 to a particular domain, it can be necessary to extend this metamodel ...
  • Applying sentiment analysis on Spanish tweets using BETO 

    de Arriba Serra, Ariadna; Oriol Hilari, Marc; Franch Gutiérrez, Javier (CEUR-WS.org, 2021)
    Conference report
    Open Access
    Emotion analysis of messages using machine learning techniques is a difficult and cumbersome task requiring a major effort to obtain reliable results. This challenge is even more pronounced when the target language is not ...

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