Di Ruscio, Davide, Kolovos, Dimitris orcid.org/0000-0002-1724-6563, de Lara, Juan et al. (3 more authors) (2022) Low-code development and model-driven engineering:Two sides of the same coin? Software and Systems Modeling. pp. 437-446. ISSN 1619-1366
Abstract
The last few years have witnessed a significant growth of so-called low-code development platforms (LCDPs) both in gaining traction on the market and attracting interest from academia. LCDPs are advertised as visual development platforms, typically running on the cloud, reducing the need for manual coding and also targeting non-professional programmers. Since LCDPs share many of the goals and features of model-driven engineering approaches, it is a common point of debate whether low-code is just a new buzzword for model-driven technologies, or whether the two terms refer to genuinely distinct approaches. To contribute to this discussion, in this expert-voice paper, we compare and contrast low-code and model-driven approaches, identifying their differences and commonalities, analysing their strong and weak points, and proposing directions for cross-pollination.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Funding Information: This work has received funding from the Lowcomote project under European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 813884. The work has also been partially funded by the Spanish Ministry of Science (RTI2018-095255-B-I00) and the R&D programme of Madrid (P2018/TCS-4314). Publisher Copyright: © 2022, The Author(s). |
Keywords: | Low-code development,Model-driven engineering,No-code development |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 08 Feb 2022 10:20 |
Last Modified: | 01 Dec 2024 01:19 |
Published Version: | https://doi.org/10.1007/s10270-021-00970-2 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1007/s10270-021-00970-2 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183381 |
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