Yekta: A low-code framework for automated test models generation

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.

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Publication Details

Journal
SoftwareX
Published
2024-08-26
DOI
https://doi.org/10.1016/j.softx.2024.101850
Citations
1
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.49

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article

Yekta: A low-code framework for automated test models generation

Shekoufeh Kolahdouz-Rahimi, Javier Troya, Meysam Karimi
1 citations
SoftwareX
Software Testing and Debugging Techniques
0.49
article

Yekta: A low-code framework for automated test models generation

Shekoufeh Kolahdouz-Rahimi, Javier Troya, Meysam Karimi
article en
1 citations

Abstract

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.

SoftwareXVol. 27
University of Isfahan (IR), Universidad de Málaga (ES), University of Roehampton (GB)
Ministerio de Ciencia, Innovación y Universidades, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 32%
Software Testing and Debugging Techniques
0.49
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