Zolotas, Athanasios, Matragkas, Nicholas orcid.org/0000-0002-8594-1912, Devlin, Sam orcid.org/0000-0002-7769-3090 et al. (2 more authors) (2019) Type inference in flexible model-driven engineering using classification algorithms. International Journal on Software & Systems Modelling. pp. 345-366. ISSN 1619-1366
Abstract
Flexible or bottom-up model-driven engineering (MDE) is an emerging approach to domain and systems modelling. Domain experts, who have detailed domain knowledge, typically lack the technical expertise to transfer this knowledge using traditional MDE tools. Flexible MDE approaches tackle this challenge by promoting the use of simple drawing tools to increase the involvement of domain experts in the language definition process. In such approaches, no metamodel is created upfront, but instead the process starts with the definition of example models that will be used to infer the metamodel. Pre-defined metamodels created by MDE experts may miss important concepts of the domain and thus restrict their expressiveness. However, the lack of a metamodel, that encodes the semantics of conforming models has some drawbacks, among others that of having models with elements that are unintentionally left untyped. In this paper, we propose the use of classification algorithms to help with the inference of such untyped elements. We evaluate the proposed approach in a number of random generated example models from various domains. The correct type prediction varies from 23 to 100% depending on the domain, the proportion of elements that were left untyped and the prediction algorithm used.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Bottom-up metamodelling,Classification and regression trees,Flexible model-driven engineering,Model-driven engineering,Random forests,Type inference |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 08 Feb 2018 15:20 |
Last Modified: | 23 Jan 2025 00:14 |
Published Version: | https://doi.org/10.1007/s10270-018-0658-5 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1007/s10270-018-0658-5 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127257 |
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Filename: 10.1007_2Fs10270_018_0658_5.pdf
Description: Type inference in flexible model-driven engineering using classification algorithms