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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 6, 2020.
Abstract: In database development, a conceptual model is created, in the form of an Entity-relationship (ER) model, and transformed to a relational database schema (RDS) to create the database. However, some important information represented on the ER model may not be transformed and represented on the RDS. This situation causes a loss of information during the transformation process. With a view to preserving information, in our previous study, we standardized the transformation process as a one-to-one and onto mapping from the ER model to the RDS. For this purpose, we modified the ER model and the transformation algorithm resolving some deficiencies existed in them. Since the mapping was established using a few real-world cases as a basis and for verification purposes, a formal-proof is necessary to validate the work. Thus, the ongoing research aiming to create a proof will show how a given ER model can be partitioned into a unique set of segments and use it to represent the ER model itself. How the findings can be used to complete the proof in the future will also be explained. Significance of the research on automating database development, teaching conceptual modeling, and using formal methods will also be discussed.
Dhammika Pieris, M. C Wijegunesekera and N. G. J Dias, “ER Model Partitioning: Towards Trustworthy Automated Systems Development” International Journal of Advanced Computer Science and Applications(IJACSA), 11(6), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110638
@article{Pieris2020,
title = {ER Model Partitioning: Towards Trustworthy Automated Systems Development},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110638},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110638},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {6},
author = {Dhammika Pieris and M. C Wijegunesekera and N. G. J Dias}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.