RT Journal Article
T1 Yekta: A low-code framework for automated test models generation
A1 Karimi, Meysam
A1 Kolahdouz-Rahimi, Shekoufeh
A1 Troya-Castilla, Javier
K1 Ingeniería del software
K1 Algoritmos computacionales
AB The methodology under the term model-based software engineering (MBSE) gained importance already around 20 years ago, after the publication of the Model-Driven Architecture (MDA) initiative by the Object Management Group (OMG). This development methodology continues to evolve, giving rise to recent proposals such as low-code or no-code. Something that has not changed, as recent surveys point out, is the need for powerful testing approaches and tools for these new methodologies. In MBSE, test inputs are models, so it is key to have frameworks for model generation. However, the main shortcomings of existing model-generation frameworks are their performance limitations and the need for domain-specific knowledge, which seriously hampers their industrial adoption. In this paper, we present the Yekta low-code framework that allows to generate models in a simple way through the application of metaheuristic algorithms.
PB Elsevier
YR 2024
FD 2024
LK https://hdl.handle.net/10630/32468
UL https://hdl.handle.net/10630/32468
LA eng
NO Meysam Karimi, Shekoufeh Kolahdouz-Rahimi, Javier Troya, Yekta: A low-code framework for automated test models generation, SoftwareX, Volume 27, 2024, 101850, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2024.101850
NO Partial funding for open access charge: Universidad de Málaga / CBUA. This work was partially supported by the Spanish Government (FEDER/Ministerio de Ciencia e Innovación – Agencia Estatal de Investigación) under projects SoCUS [TED2021-130523B-I00] and IPSCA [PID2021-125527NB-I00].
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026