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鄭逸周 홍익대학교 산업기술연구소 2003 産業技術 Vol.13 No.-
This paper makes an attempt to suggest a process of automatically generating application software based on the Entity-Relationship model. 1. The designer develops an E-R model of an real-world system. 2. The software generator automatically generates a stereo-type application system. 3. The generator produces database schema and link information between application programs. 4. The designer designs the user interface including menu, screen design and so on. Finally, the generator integrates all the elements of an application system. Five basic program generation rules, three extended rules and a database generation rule have been suggested. By following each rule with the generator, the designer can build an application with an extremely efficient manner compared with traditional approaches. A set of computer programs have been developed in order to show the applicability of the automated software generation process suggested in this paper. It has been demonstrated from the case study that the idea of applying an automated generator in systems development based upon the E-R model worked well.
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鄭逸周 홍익대학교 산업기술연구소 1998 産業技術 Vol.8 No.-
The Entity-Relationship(E-R) model has been considered as a useful tool for designing the logical database for the enterprise. This paper makes an attempt to find a more systematic portion of the database design process. Basically we consider three aspects as a systematic portion of the database design process. They are, first the strategy that a designer selects to design an E-R diagram, second, designer's cognitive style and finally the knowledge and preference that the diegner possesses about the reality to be represented by the E-R model. An experiment has been carried out in order to verify the systematic relationship between above-mentioned three aspects and the E-R modeling performance. The target system is the Korean professional baseball system. A normative E-R diagram was constructed based upon 360 query questions to the baseball database. ANOVA process has shown significant differences in query-answering capacity and the number of entity and relationship type. However, individual differences in cognitive styles has not been found to be significantly related to the E-R modeling performance.
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