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- W4386952887 abstract "After conducting a systematic literature review in the field of embedded systems development, a multilayer conceptual network is created to represent the relationship between the classification criteria for embedded systems development methodologies. For this purpose, an object-oriented data model is defined in Python and mapped to a relational SQLite and a non-relational MongoDB data model. After generation, the two models are populated using the Naive Bayes algorithm in the validation process. Generated relational and non-relational models support the relationship between the classification criteria for embedded systems development methodologies. As a result, this directed network is graphically represented by a multi-layer conceptual network, and generated queries, on relational and non-relational models, provide the possibility of a deeper understanding of defined classification criteria interdependence." @default.
- W4386952887 created "2023-09-23" @default.
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- W4386952887 date "2023-07-19" @default.
- W4386952887 modified "2023-09-27" @default.
- W4386952887 title "Network model for the classification of development methodologies for embedded systems" @default.
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- W4386952887 doi "https://doi.org/10.1109/iceccme57830.2023.10252193" @default.
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