Now showing items 1-4 of 4

    • Big data analytics in Agile software development: A systematic mapping study 

      Biesialska, Katarzyna; Franch Gutiérrez, Javier; Muntés Mulero, Víctor (Elsevier, 2021-04)
      Article
      Restricted access - publisher's policy
      Context: Over the last decade, Agile methods have changed the software development process in an unparalleled way and with the increasing popularity of Big Data, optimizing development cycles through data analytics is ...
    • Continual lifelong learning in natural language processing: a survey 

      Biesialska, Magdalena Marta; Biesialska, Katarzyna; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Conference lecture
      Open Access
      Continual learning (CL) aims to enable information systems to learn from a continuous data stream across time. However, it is difficult for existing deep learning architectures to learn a new task without largely forgetting ...
    • Mining dependencies in large-scale Agile software development projects: A quantitative industry study 

      Biesialska, Katarzyna; Franch Gutiérrez, Javier; Muntés Mulero, Víctor (Association for Computing Machinery (ACM), 2021)
      Conference report
      Open Access
      Context: Coordination in large-scale software development is critical yet difficult, as it faces the problem of dependency management and resolution. In this work, we focus on managing requirement dependencies that in Agile ...
    • Protocol and tools for conducting agile software engineering research in an industrial-academic setting: a preliminary study 

      Biesialska, Katarzyna; Franch Gutiérrez, Javier; Muntés Mulero, Victor (Association for Computing Machinery (ACM), 2018)
      Conference report
      Open Access
      Conducting empirical research in software engineering industry is a process, and as such, it should be generalizable. The aim of this paper is to discuss how academic researchers may address some of the challenges they ...