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3.9 KiB
date:: 5/2023 issn:: 25901184 doi:: 10.1016/j.cola.2023.101217 title:: @Dandelion: A scalable, cloud-based graphical language workbench for industrial low-code development pages:: 101217 item-type:: journalArticle access-date:: 2023-05-26T07:58:51Z original-title:: "Dandelion: A scalable, cloud-based graphical language workbench for industrial low-code development" language:: en url:: https://linkinghub.elsevier.com/retrieve/pii/S2590118423000278 short-title:: Dandelion publication-title:: Journal of Computer Languages journal-abbreviation:: Journal of Computer Languages authors:: Francisco Martínez-Lasaca, Pablo Díez, Esther Guerra, Juan De Lara library-catalog:: DOI.org (Crossref) links:: Local library, Web library
- Abstract
- There is an increasing demand nowadays for low-code development platforms (LCDPs). As they rely heavily on graphical languages rather than writing code, these platforms enable citizen developers to participate in software development. However, creating new LCDPs is very costly, since it requires building support for graphical modelling and its integration with services like model validation, recommendation systems, or code generation. While Model-driven Engineering (MDE) has developed technologies to create these components, most of them are not cloud-based, as required by LCDPs. In particular, a cloud-based graphical workbench capable of providing the scalability required by industrial applications and adequately supporting technological heterogeneity is currently missing.
- Attachments
- Martínez-Lasaca et al. - 2023 - Dandelion A scalable, cloud-based graphical langu.pdf {{zotero-imported-file ETGC53JJ, "Martínez-Lasaca et al. - 2023 - Dandelion A scalable, cloud-based graphical langu.pdf"}}