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http://dx.doi.org/10.3745/KTSDE.2013.2.7.479

A Study on Elicitation Procedures of the Entity for Data Model  

Kim, Doyu (부경대학교 컴퓨터공학과)
Yeo, Jeongmo (부경대학교 컴퓨터공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.2, no.7, 2013 , pp. 479-486 More about this Journal
Abstract
The data model that can be said as skeleton of the information system constitutes important 2 axles in the information system together with the process model. There is entity, properties, relation as key factors of the data model, and entity is the most fundamental factor in the data model, and thus total data model becomes vague if not deriving entity definitely. This study dealt with entity deduction only. Deducing methods of existing entity depended on experiences, task knowledge of designers and clear procedures were not suggested, so there were many difficulties in approaching them from beginners or unskilled persons. For giving helps in solving the problem, this study proposes entity- deducing procedures based on tasks that can derive entity with a systematic process at previously derived target businesses through suggested methods from advancing researches. And the study enabled proposing procedures on imaginary tasks to be applied, objecting to undergraduates who had not experiences on the data modeling, and then verified suggesting process through a similarity checking between best answers with deduced entity by students after taking impossible points of comparing existing methods with suggesting process into consideration. By doing so, deducing entity closely to the best answer was confirmed accordingly. Therefore, a fact could be confirmed that beginners were able to deduce entity closely to the best answer even if letting beginners who had not experiences on the data modeling be applied to unfamiliar tasks. Regarding researches on properties and relation deduction besides entity, this study leaves them to next time.
Keywords
Entity; Data Modeling; Target Businesses; Elicitation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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