2006•Unpublished venueRequires access

Why (not) ORM?

Krešimir Fertalj, Nikica Hlupić, Lidia Rovan

Open publisher page 3 citations

Abstract

The two widely used approaches to data modelling, the application of Unified Modelling Language (UML) and Object Role Modelling (ORM) are compared. Since one of the purposes of modelling is to present and clarify the system design, the key comparison criteria were expressivity, i.e., clear presentation and easy perception of the stored information and substantiality, i.e., ability to store lots of information. A few characteristic situations were chosen that frequently arise in data modelling practice, and the examples clearly show how the same information can be very differently perceptive in ORM and UML models. Thus, the paper can help in selection of the modelling framework for a particular project

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What this paper is about

The two widely used approaches to data modelling, the application of Unified Modelling Language (UML) and Object Role Modelling (ORM) are compared. Since one of the purposes of modelling is to present and clarify the system design, the key comparison criteria were expressivity, i.e., clear presentation and easy perception of the stored information and substantiality, i.e., ability to store lots of information. A few characteristic situations were chosen that frequently arise in data modelling practice, and the examples clearly show how the same information can be very differently perceptive in ORM and UML models. Thus, the paper can help in selection of the modelling framework for a particular project

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The two widely used approaches to data modelling, the application of Unified Modelling Language (UML) and Object Role Modelling (ORM) are compared. Since one of the purposes of modelling is to present and clarify the system design, the key comparison criteria were expressivity, i.e., clear presentation and easy perception of the stored information and substantiality, i.e., ability to store lots of information. A few characteristic situations were chosen that frequently arise in data modelling practice, and the examples clearly show how the same information can be very differently perceptive in ORM and UML models. Thus, the paper can help in selection of the modelling framework for a particular project

Key concepts: Computer science, Unified Modeling Language, Key (lock), Data modeling, Presentation (obstetrics), Applications of UML, Selection (genetic algorithm), Object Constraint Language

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