A Metascience Study of the Impact of Low-Code Techniques in Modeling Publications
<|reference_start|>A Metascience Study of the Impact of Low-Code Techniques in Modeling Publications: In the last years, model-related publications have been exploring the application of modeling techniques in different domains. Initially focused on UML and the Model-Driven Architecture approach, the literature has been evolving towards the usage of more general concepts such as Model-Driven Development or Model-Driven Engineering. With the emergence of Low-Code software development platforms, the modeling community has been studying how these two fields may combine and benefit from each other, thus leading to the publication of a number of works in recent years. In this paper, we present a metascience study of Low-Code. Our study has a two-fold approach: (1) to examine the composition (size and diversity) of the emerging Low-Code community; and (2) to investigate how this community differs from the "classical" model-driven community in terms of people, venues, and types of publications. Through this study, we aim to benefit the low-code community by helping them better understand its relationship with the broader modeling community. Ultimately, we hope to trigger a discussion about the current and possible future evolution of the low-code community as part of its consolidation as a new research field.<|reference_end|>
@article{tosi2024a,
    title={A Metascience Study of the Impact of Low-Code Techniques in Modeling
  Publications},
    author={Mauro Dalle Lucca Tosi, Javier Luis C'anovas Izquierdo, Jordi Cabot},
    journal={arXiv preprint arXiv:2408.05975},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.05975},
    primaryClass={cs.SE cs.DL}
}