Departament d'Enginyeria de Serveis i Sistemes d'Informació

Recent Submissions

  • Finding relevant information in big datasets with ML 

    Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca (OpenProceedings, 2024)
    Conference lecture
    Open Access
    Due to the abundance of data, noisy, irrelevant, or redundant features often need to be identified and discarded. Feature selection is a collection of methods used to ensure that only relevant data are used for a data ...

  • GLiDE: Integrated Gamified Learning Dashboard Environment 

    Farré Tost, Carles; López Cuesta, Lidia; Oriol Hilari, Marc; Espinola Garcia, Adrià; Miñana Montecino, Albert; Franch Gutiérrez, Javier (CEUR-WS.org, 2024)
    Conference lecture
    Open Access
    The Integrated Gamified Learning Dashboard Environment (GLiDE) project aims at fostering student engagement, teamwork, and project performance in software engineering education. By integrating gamification elements and ...

  • Evidence-based quality-aware agile software development process: design and evaluation 

    Karhapää, Pertti; Behutiye, Woubshet; Seppänen, Pertti; Rodríguez González, Pilar; Oivo, Markku; Franch Gutiérrez, Javier; Martínez Fernández, Silverio Juan; López Cuesta, Lidia; Choras, Michal; Bagnato, Alessandra; Aaramaa, Sanja; Partanen, Jari (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Article
    Open Access
    Agile software development (ASD) aims to deliver high-quality software. However, software quality often receives less attention in ASD due to focus on functionality. Elicit requirements for, design, validate, implement, ...

  • Journey to the center of software supply chain attacks 

    Ladisa, Piergiorgio; Ponta, Serena Elisa; Sabetta, Antonino; Martínez Martínez, Matías-Sebastián; Barais, Olivier (Institute of Electrical and Electronics Engineers (IEEE), 2023-08-21)
    Article
    Open Access
    This article discusses open source software supply chain attacks and proposes a general taxonomy describing how attackers conduct them. We then provide a list of safeguards to mitigate such attacks. We present our tool ...

  • Exploring the landscape of learning analytics privacy in fog and edge computing: A systematic literature review 

    Amo Filvà, Daniel; Fonseca Escudero, David; García Peñalvo, Francisco Javier; Alier Forment, Marc; Casany Guerrero, María José; Godoy Hernández, Guillem (Elsevier, 2024-09)
    Article
    Restricted access - publisher's policy
    The study systematically reviews the integration of Fog and Edge Computing within Learning Analytics to enhance data privacy and security in educational settings that use cloud computing. Employing the PRISMA methodology, ...

  • RE-Miner: Mining mobile user reviews with feature extraction and emotion classification 

    Motger de la Encarnación, Joaquim; Tiessler Aguirre, Max; Oriol Hilari, Marc; Bertolín Rico, Irene (CEUR-WS.org, 2024)
    Conference report
    Open Access
    In the context of app stores, user reviews are pivotal on supporting multiple requirements engineering tasks. Among these, feature extraction and emotion classification play a crucial role in requirements prioritization, ...

  • There is no data science without data governance: a proposal based on knowledge graphs 

    Bilalli, Besim; Jovanovic, Petar; Nadal Francesch, Sergi; Queralt Calafat, Anna; Romero Moral, Óscar (CEUR-WS.org, 2024)
    Conference lecture
    Open Access
    Data Science and data-driven Artificial Intelligence are here to stay and they are expected to further transform the current global economy. From a technical point of view, there is an overall agreement that disciplines ...

  • A data-science pipeline to enable the interpretability of many-objective feature selection 

    Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca (CEUR-WS.org, 2024)
    Conference lecture
    Open Access
    Many-Objective Feature Selection (MOFS) approaches use four or more objectives to determine the relevance of a subset of features in a supervised learning task. As a consequence, MOFS typically returns a large set of ...

  • Discovery of semantic non-syntactic joins 

    Maynou Yelamos, Marc; Nadal Francesch, Sergi (CEUR-WS.org, 2024)
    Conference lecture
    Open Access
    Data discovery is an essential step in the data integration pipeline involving finding datasets whose combined information provides relevant insights. Discovering joinable attributes requires assessing the closeness of the ...

  • HealthMesh: An architectural framework for federated healthcare data management 

    Bisquert Parés, Aniol; Hmimou Ham Man, Achraf; Berral García, Josep Lluís; Gutiérrez Torre, Alberto; Romero Moral, Óscar (CEUR-WS.org, 2024)
    Conference report
    Open Access
    Recently, significant milestones have been achieved in the field of healthcare data analysis. However, alongside these accomplishments, substantial data-related challenges have emerged in the domain of big data management. ...

  • Unveiling competition dynamics in mobile app markets through user reviews 

    Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Gervasi, Vincenzo; Marco Gómez, Jordi (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    [Context and motivation] User reviews published in mobile app repositories are essential for understanding user satisfaction and engagement within a specific market segment. [Question/problem] Manual analysis of reviews ...

  • Performance analysis of distributed GPU-accelerated task-based workflows 

    Nogueira Lobo de Carvalho, Marcos; Queralt Calafat, Anna; Romero Moral, Óscar; Simitsis, Alkis; Tatu, Cristian; Badia Sala, Rosa Maria (OpenProceedings, 2024)
    Conference report
    Open Access
    We present an empirical approach to identify the key factors affecting the execution performance of task-based workflows on a High Performance Computing (HPC) infrastructure composed of heterogeneous CPU-GPU clusters. Our ...

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