Conceptual modelling based on behavioral decomposition (original) (raw)
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2017
There have been a growing number of publications suggesting that philosophical ontologies will define a rigorous basis for conceptual modelling, particularly for data modelling methods and notations. An examination of an underlying psychological assumption of the conceptual modelling process is used to show that philosophical ontologies are being used as a ‘telescope’ to view the products of yet another ‘telescope’ and this undermines their reliability by being too far removed from the actual modelling process. An ontology of conceptual structure, derived through linguistic analysis provides a psychologically realistic alternative to the philosophical ontologies that is as close to its mental interpretation as possible and is a more promising approach to understanding the modelling process.
A Review of Problems and Challenges of using Multiple Conceptual Models
2019
Conceptual models are used to visualise, envisage, and communicate the requirements, structure, and behaviour of a system. Particularly, during design and analysis phases, a model can serve as a tool to recognise different components, elements, actors, and relationships involved in a system. However, as a domain becomes complex, multiple models are needed to capture different aspects of a system. Further, each conceptual model develops using different grammars, methods, and tools. Therefore, using multiple models to represent a complex system may result in several problems, and challenges. This research aims to identify, analyse, and classify the different problems and issues encountered when using multiple models during information systems analysis and design through a structured literature review. Several problems are identified and are classified into seven main categories based on their common characteristics. The results of this study may serve as a baseline information for res...