Biesialska, Katarzyna; Franch Gutiérrez, Javier; Muntés Mulero, Víctor (Elsevier, 2021-04)
Restricted access - publisher's policyContext: 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 ...
Biesialska, Magdalena Marta; Biesialska, Katarzyna; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
Open AccessContinual 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)
Open AccessContext: 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)
Open AccessConducting 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 ...