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

2023Journal article Open access
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dc.contributor.authorMartins, José
dc.contributor.authorBranco, Frederico
dc.contributor.authorMamede, Henrique
dc.date.accessioned2023-10-30T14:49:09Z
dc.date.available2023-10-30T14:49:09Z
dc.date.issued2023
dc.description.abstractLow-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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMartins, José; Branco, Frederico; Mamede, Henrique (2023). Combining low-code development with ChatGPT to novel no-code approaches: a focus-group study. Intelligent Systems with Applications. ISSN 2667-3053. 20, p. 200289pt_PT
dc.identifier.doi10.1016/j.iswa.2023.200289pt_PT
dc.identifier.issn2667-3053
dc.identifier.urihttp://hdl.handle.net/10198/28847
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationLA/P/0063/2020pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLow-codept_PT
dc.subjectNo-codept_PT
dc.subjectArtificial intelligencept_PT
dc.subjectSoftware modelspt_PT
dc.subjectChatGPTpt_PT
dc.subjectLLMpt_PT
dc.titleCombining low-code development with ChatGPT to novel no-code approaches: a focus-group studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage200289pt_PT
oaire.citation.titleIntelligent Systems with Applicationspt_PT
oaire.citation.volume20pt_PT
person.familyNameMartins
person.givenNameJosé
person.identifierR-005-4SA
person.identifier.ciencia-idBC19-7E23-DA8C
person.identifier.orcid0000-0002-7787-6305
person.identifier.ridB-5280-2014
person.identifier.scopus-author-id35321317600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9a3a730e-b304-424c-9325-35f43c88f16c
relation.isAuthorOfPublication.latestForDiscovery9a3a730e-b304-424c-9325-35f43c88f16c

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