article · Intelligent Systems with Applications · 2023

Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study

José Martins, Frederico Branco, Henrique São Mamede

Cited by 25Open access

Abstract

Low-code tools are a trend in software development for business solutions due to their agility and ease of use. There are a certain number of vendors with such solutions. Still, in most Western countries, there is a clear need for the existence of greater quantities of certified and experienced professionals to work with those tools. This means that companies with more resources can attract and maintain those professionals, whilst other smaller organizations must rely on an endless search for this scarce resource. We will present and validate a model designed to transform ChatGPT into a low-code developer, addressing the demand for a more skilled human resource solution. This innovative tool underwent rigorous validation via a focus group study, engaging a panel of highly experienced experts. Their invaluable insights and feedback on the proposed model were systematically gathered and meticulously analysed.

Cite this paper

APA 7

Martins, J., Branco, F., & Mamede, H. S. (2023). Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study. Intelligent Systems with Applications, 20, 200289. https://doi.org/10.1016/j.iswa.2023.200289

MLA 9

Martins, José, et al. “Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study.” Intelligent Systems with Applications, vol. 20, 2023, p. 200289, https://doi.org/10.1016/j.iswa.2023.200289.

Chicago

Martins, José, Frederico Branco, and Henrique São Mamede. 2023. “Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study.” Intelligent Systems with Applications 20: 200289. https://doi.org/10.1016/j.iswa.2023.200289.

Harvard

Martins, J., Branco, F. and Mamede, H.S. (2023) ‘Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study’, Intelligent Systems with Applications, 20, p. 200289. Available at: https://doi.org/10.1016/j.iswa.2023.200289.

BibTeX

@article{martins2023combining,
  title = {{Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study}},
  author = {Martins, José and Branco, Frederico and Mamede, Henrique São},
  journal = {Intelligent Systems with Applications},
  volume = {20},
  pages = {200289},
  year = {2023},
  doi = {10.1016/j.iswa.2023.200289}
}

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