Repository logo
 
Publication

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

2023-11-01Journal article Restricted access
Simple item page
dc.contributor.authorMartins, José
dc.contributor.authorBranco, Frederico
dc.contributor.authorSão Mamede, Henrique
dc.contributor.authorMartins, José
dc.date.accessioned2024-05-21T15:06:36Z
dc.date.available2024-05-21T15:06:36Z
dc.date.issued2023-11-01
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, J., Branco, F., & Mamede, H. (2023). Combining low-code development with ChatGPT to novel no-code approaches: A focus-group study. Intelligent Systems with Applications, 20, 200289.pt_PT
dc.identifier.doi10.1016/j.iswa.2023.200289pt_PT
dc.identifier.issn26673053
dc.identifier.urihttp://hdl.handle.net/10400.2/16056
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevier BVpt_PT
dc.relationINESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/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.awardTitleINESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0063%2F2020/PT
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIntelligent Systems with Applicationspt_PT
oaire.citation.volume20pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameDOS SANTOS BRANCO
person.familyNameSão Mamede
person.familyNameMartins
person.givenNameFREDERICO AUGUSTO
person.givenNameHenrique
person.givenNameJosé
person.identifierR-002-0P0
person.identifierR-005-4SA
person.identifier.ciencia-id0E15-939D-338A
person.identifier.ciencia-id7F17-9DAD-C007
person.identifier.ciencia-idBC19-7E23-DA8C
person.identifier.orcid0000-0001-8434-4887
person.identifier.orcid0000-0002-5383-9884
person.identifier.orcid0000-0002-7787-6305
person.identifier.ridB-5280-2014
person.identifier.scopus-author-id36458782500
person.identifier.scopus-author-id35321317600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication201d0654-d538-4921-b9a8-a5c1faa54b98
relation.isAuthorOfPublication86fd6131-eed5-42be-9639-9466ddf680ab
relation.isAuthorOfPublication01b2034d-9943-405b-a13f-b54b6e10b004
relation.isAuthorOfPublication.latestForDiscovery86fd6131-eed5-42be-9639-9466ddf680ab
relation.isProjectOfPublication70de26da-3525-4150-b88a-c38d047c59c5
relation.isProjectOfPublication.latestForDiscovery70de26da-3525-4150-b88a-c38d047c59c5

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
No-Code Approach_Final.pdf
Size:
2 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.97 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Informática e Sistemas de Informação | Artigos em revistas internacionais / Papers in international journals