The GESSI research group of the Software Department at the UPC conducts research in many fields of software engineering, with particular emphasis on procurement and implementation of COTS components, requirements engineering, construction of quality models for software domains and software process modelling and enactment; also software certification is a target for the near future. We are also focusing in some particular kinds of software components and packages, remarkably ERP systems and container libraries.

Enviaments recents

  • Reconciliando modularidad y eficiencia mediante atajos 

    Marco Gómez, Jordi; Franch Gutiérrez, Javier (Asociación Española de Informática y Automática (AEIA), 1997)
    Text en actes de congrés
    Accés obert
    Se presenta en este artículo una propuesta para el desarrollo de programas eficientes en el marco de la programación con tipos abstractos de datos (TAD), con el objetivo de respetar la estructura modular de los programas ...
  • Open source software ecosystems : a systematic mapping 

    Franco Bedoya, Óscar Hernán; Ameller, David; Costal Costa, Dolors; Franch Gutiérrez, Javier (2017-11-01)
    Article
    Accés restringit per política de l'editorial
    Context: Open source software (OSS) and software ecosystems (SECOs) are two consolidated research areas in software engineering. OSS influences the way organizations develop, acquire, use and commercialize software. SECOs ...
  • State of the practice on software release planning 

    Farré Tost, Carles; Franch Gutiérrez, Javier; Ionescu, Tudor (CEUR-WS.org, 2017)
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    In the recent years, the academic literature has reported many different proposals addressing the problem of Software Release Planning (SRP). However, nearly none of these results has been transferred to commercial tools ...
  • Cost model for Pregel on GraphX 

    Kumar, Rohit; Abelló Gamazo, Alberto; Carders, Toon (Springer, 2017)
    Text en actes de congrés
    Accés obert
    The graph partitioning strategy plays a vital role in the overall execution of an algorithm in a distributed graph processing system. Choosing the best strategy is very challenging, as no one strategy is always the best ...
  • Desenvolupament d’aplicacions web 

    Farré Tost, Carles (Institut d'Estudis Catalans (IEC), 2017-06)
    Article
    Accés obert
    Aquest article pretén aportar una visió panoràmica del desenvolupament de les aplicacions web i, en particular, donar a conèixer algunes de les tècniques, eines i metodologies que usen els professionals que s’hi dediquen. ...
  • MapReduce performance models for Hadoop 2.x 

    Glushkova, Daria; Jovanovic, Petar; Abelló Gamazo, Alberto (CEUR-WS.org, 2017)
    Text en actes de congrés
    Accés obert
    MapReduce is a popular programming model for distributed processing of large data sets. Apache Hadoop is one of the most common open-source implementations of such paradigm. Performance analysis of concurrent job executions ...
  • Big data management challenges in SUPERSEDE 

    Nadal Francesch, Sergi; Abelló Gamazo, Alberto; Romero Moral, Óscar; Varga, Jovan (CEUR-WS.org, 2017)
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    The H2020 SUPERSEDE (www.supersede.eu) project aims to support decision-making in the evolution and adaptation of software services and applications by exploiting end-user feedback and runtime data, with the overall goal ...
  • SM4MQ: a semantic model for multidimensional queries 

    Varga, Jovan; Dobrokhotova, Ekaterina; Romero Moral, Óscar; Bach Pedersen, Torben; Thomsen, Christian (Springer, 2017)
    Text en actes de congrés
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    On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making. On top of that, Exploratory OLAP is a novel initiative for the convergence of OLAP and the Semantic Web (SW) that enables the use ...
  • Intelligent assistance for data pre-processing 

    Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (Elsevier, 2017-06-03)
    Article
    Accés restringit per política de l'editorial
    A data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way ...
  • On the predictive power of meta-features in OpenML 

    Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs (2017-12-20)
    Article
    Accés obert
    The demand for performing data analysis is steadily rising. As a consequence, people of different profiles (i.e., non-experienced users) have started to analyze their data. However, this is challenging for them. A key step ...
  • Non-functional requirements documentation in agile software development: challenges and solution proposal 

    Behutiye, Woubshet; Karhapää, Pertti; Costal Costa, Dolors; Oivo, Markku; Franch Gutiérrez, Javier (Springer, 2017)
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    Non-functional requirements (NFRs) are determinant for the success of software projects. However, they are characterized as hard to define, and in agile software development (ASD), are often given less priority and usually ...
  • A Data-driven approach to improve the process of data-intensive API creation and evolution 

    Abelló Gamazo, Alberto; Ayala Martínez, Claudia Patricia; Farré Tost, Carles; Gómez Seoane, Cristina; Oriol Hilari, Marc; Romero Moral, Óscar (CEUR-WS.org, 2017)
    Text en actes de congrés
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    The market of data-intensive Application Programming Interfaces (APIs) has recently experienced an exponential growth, but the creation and evolution of such APIs is still done ad-hoc, with little automated support and ...

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