2026-05-31T16:17:38Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/324682026-02-03T11:12:30Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Karimi, Meysam author Kolahdouz-Rahimi, Shekoufeh author Troya-Castilla, Javier author 2024 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. 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 https://hdl.handle.net/10630/32468 10.1016/j.softx.2024.101850 Ingeniería del software Algoritmos computacionales Yekta: A low-code framework for automated test models generation