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

dc.contributor.author Henrique São Mamede en
dc.contributor.author José Luís Martins en
dc.contributor.other 6355 en
dc.contributor.other 6516 en
dc.date.accessioned 2023-10-31T15:00:44Z
dc.date.available 2023-10-31T15:00:44Z
dc.date.issued 2023 en
dc.description.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. en
dc.identifier P-00Z-5AQ en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14510
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study en
dc.type en
dc.type Publication en
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