Network model for the classification of development methodologies for embedded systems

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.