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A Neoteric Approach for Modeling and Conversion of RDBMS Using UML

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Proceedings of 3rd International Conference on Computing Informatics and Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 167))

Abstract

RDBMS enables the software systems to manipulate data from a database. Among all the database systems that exist, relational database systems take the major share of the market. Mostly, ER diagrams are used for modeling of RDBMS in design phase. In software applications, application layer is the object-oriented programming language, and RDBMS acts as the backend store. Mostly, UML is being used to model the application layer and ER diagram to model the RDBMS. Modeling of these layers separately creates inconsistency for the developers. Modeling these layers using a single notation, i.e., UML will bridge the gap. Modeling RDBMS using UML to incorporate the database schema as well as the operations to be performed on it. The entire RDBMS information could be scattered across the UML model. Enhancement in the modeling practice will be there using UML as standard for modeling of both layers and proposing new constructs at modeling level for RDBMS. The proposed method identifies different aspects in RDBMS which needs to be captured using UML. The representation of entire relational database system, its components and relationship between them is done using different diagrams in UML. The relationship between entities (tables in RDBMS) is identified based upon some constraints. The proposed method identifies the weaknesses in RDBMS modeling that has been done till now and extracts ways to overcome those weaknesses and propose new constructs at modeling level for RDBMS.

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Correspondence to Nida Iftekhar .

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Iftekhar, N., Warsi, M.R., Zafar, S., Khan, S., Biswas, S.S. (2021). A Neoteric Approach for Modeling and Conversion of RDBMS Using UML. In: Abraham, A., Castillo, O., Virmani, D. (eds) Proceedings of 3rd International Conference on Computing Informatics and Networks. Lecture Notes in Networks and Systems, vol 167. Springer, Singapore. https://doi.org/10.1007/978-981-15-9712-1_25

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  • DOI: https://doi.org/10.1007/978-981-15-9712-1_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9711-4

  • Online ISBN: 978-981-15-9712-1

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