Comparative analysis of smart contract generation using large language models (2025)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; SANTOS, HIAGO VINÍCIUS BENEDITO DOS - ICMC ; JANUÁRIO, RAISSA ROSA DOS SANTOS - ICMC ; ZANATTA, RAVELLY CARVALHO - ICMC ; MATOS, SAULO NEVES - ICMC
- Unidade: ICMC
- DOI: 10.5753/sbrc.2025.5848
- Subjects: ESTUDO DE CASO; INTELIGÊNCIA ARTIFICIAL
- Keywords: Smart Contract; Blockchain; Large Language Models; Comparative Analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2025
- Source:
- Conference titles: Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SANTOS, Hiago Vinícius Benedito dos et al. Comparative analysis of smart contract generation using large language models. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/sbrc.2025.5848. Acesso em: 12 fev. 2026. -
APA
Santos, H. V. B. dos, Januário, R. R. dos S., Zanatta, R. C., Matos, S. N., & Ueyama, J. (2025). Comparative analysis of smart contract generation using large language models. In Anais. Porto Alegre: SBC. doi:10.5753/sbrc.2025.5848 -
NLM
Santos HVB dos, Januário RR dos S, Zanatta RC, Matos SN, Ueyama J. Comparative analysis of smart contract generation using large language models [Internet]. Anais. 2025 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.5753/sbrc.2025.5848 -
Vancouver
Santos HVB dos, Januário RR dos S, Zanatta RC, Matos SN, Ueyama J. Comparative analysis of smart contract generation using large language models [Internet]. Anais. 2025 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.5753/sbrc.2025.5848 - Data-driven soft sensor development for ore type estimation in mineral crushing processes
- Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement
- Improving soft sensor reliability in the mining industry using incremental learning
- An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology
- Enhancing operational safety with conformal prediction in soft sensors
- Cascade proportional-integral control design and affordable instrumentation system for enhanced performance of electrolytic dry cells
- Closing the loop: enhancing industrial productivity through soft sensor
- Deep Learning and object detection for water level measurement using patterned visual markers
- NodePM: a remote monitoring alert system for energy consumption using probabilistic techniques
- Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly
Informações sobre o DOI: 10.5753/sbrc.2025.5848 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3252394.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
