Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11960/4041
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dc.contributor.authorLima, Rui-
dc.contributor.authorCruz, António Miguel-
dc.contributor.authorRibeiro, Jorge-
dc.date.accessioned2024-06-03T13:30:19Z-
dc.date.available2024-06-03T13:30:19Z-
dc.date.issued2020-
dc.identifier.citationLima, R., Cruz, A. M. R., & Ribeiro, J. (2020). Artificial intelligence applied to software testing: a literature review. In A. Rocha, B. Escobar Peréz, F. Garcia Peñalvo, M. Del Mar Miras, & R. Gonçalves (Eds.), 15th Iberian Conference on Information Systems and Technologies (CISTI 2020), 24-27 june, 2020, Sevilha, (pp. 1-6). IEEE. https://doi.org/10.23919/CISTI49556.2020.9141124pt_PT
dc.identifier.isbn978-989-54659-0-3-
dc.identifier.urihttp://hdl.handle.net/20.500.11960/4041-
dc.description.abstractIn recent decades there has been an increasing concern about climate change. Every person is increasingly concerned about global warming and, as a consumer, with their own individual contribute to that issue, wich may be measured by each one’s carbon footprint. In this sense, it is only natural that each person wants to consume products with a lower carbon footprint, meaning with a lower environmental impact. For this, however, consumers need to be able to know the carbon footprint of the products they are buying. This is only possible by having every company tracking and sharing their own products carbon footprint. The blockchain is a distributed technology that allows for registering and sharing information between those companies and the final consumers. The blockchain is being used in many areas as a distributed database, and has some strong points like trust, transparency, security, immutability, durability, disintermediation and others. In this paper the blockchain technology is being used to track and trace back the carbon footprint of products and organizations. More exactly, this paper proposes a smart contract-based platform for the traceability of the carbon footprint of products and organizations.pt_PT
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.rightsopenAccesspt_PT
dc.subjectSoftware testingpt_PT
dc.subjectTest patternpt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectMachine learningpt_PT
dc.subjectArtificial neural networkpt_PT
dc.subjectGenetic algorithmpt_PT
dc.titleArtificial intelligence applied to software testing: a literature reviewpt_PT
dc.typeconferenceObjectpt_PT
dc.date.updated2024-05-28T16:02:21Z-
dc.description.versionEC18-399D-CF16 | ANTÓNIO MIGUEL RIBEIRO DOS SANTOS ROSADO DA CRUZ-
dc.description.versionN/A-
dc.identifier.slugcv-prod-2614255-
dc.peerreviewedyespt_PT
degois.publication.firstPage1pt_PT
degois.publication.lastPage6pt_PT
degois.publication.title15th Iberian Conference on Information Systems and Technologies (CISTI 2020)pt_PT
degois.publication.locationSeville (Espanha)pt_PT
dc.identifier.doi10.23919/CISTI49556.2020.9141124-
dc.identifier.eid2-s2.0-85089024595-
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ESTG - Publicações indexadas à WoS/Scopus

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