Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/100599
Title: Comparative Analysis of Data Modeling Design Tools
Authors: Carvalho, Gonçalo 
Mykolyshyn, Sergii 
Cabral, Bruno 
Bernardino, Jorge 
Pereira, Vasco 
Keywords: Data modeling; Data modeling tools; Database management systems; Design tools
Issue Date: 2022
Project: POCI-01-0247-FEDER-039555 
Serial title, monograph or event: IEEE Access
Volume: 10
Abstract: Conceptual modeling describes the physical or social aspects of the world abstractly, encompassing the interpretation of data production, gathering, visualization, and analysis. The quality of the data analysis system will limit the excellence of any decision-making process. Thus, accurately specifying the physical data model is essential. The primary goal of our work is to compare tools that can create this physical model. We recognize several types of data models, but we only include the relational data model. We evaluate free and commercial data modeling tools. But it is challenging to decide how to compare them and which elements are crucial. We propose a new approach for software tools' evaluation based on the Business Readiness Rating (BRR) model and the OSSpal evaluation methodology. In this work, we show that this new methodology can be tailored to the needs of each individual developer or team, thus providing proper and meaningful results. Also, by applying this hybrid approach to the evaluation of data modelling tools, we show it can robustly handle the bias from lesser relevant evaluation categories.
URI: http://hdl.handle.net/10316/100599
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3139071
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais

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