数据质量分析与改进项目成本估算模型的发展

Y. Seo, Duck Hee Lee, S. Jung, K. Park
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摘要

摘要提交:2014年12月26日,1 st修订:3月12日,2015年接受:3月17日2015 *중앙대학교경영대학부교수* *중앙대학교경영대학박사과정* * *한국정보화진흥원공공데이터활용지원센터수석연구원* * * *韩科院경영대학조교수,교신저자利益在数据库系统的数据质量是医院最近,分析和改进数据质量数据库的一个重要的问题。然而,对于如何合理计算此类工程的总成本,各国尚未达成明确的共识。本文在实际工程数据和预算统计的基础上,建立了一个数据库质量分析与改进项目的成本估算模型。我们首先进行统计分析,建立我们的基本模型。在整个分析过程中,我们已经确定了决定实施项目所需的工程规模并最终确定成本的因素。此外,我们已经确定了决定项目复杂性的因素。这些因素可以调整由工程规模决定的成本。我们的模型通过对专家的调查得到了验证和改进。我们将模型应用于新项目,并观察到我们的模型可以合理地估计每个项目的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Development of Cost Estimation Model for Data Quality Analysis and Improvement Project
Abstract Submitted:December 26, 2014 1 st Revision:March 12, 2015 Accepted:March 17, 2015* 중앙대학교 경영대학 부교수** 중앙대학교 경영대학 박사과정*** 한국정보화진흥원 공공데이터활용지원센터 수석연구원**** KAIST 경영대학 조교수, 교신저자As interests in the quality of data in database systems are gro wing recently, analysis and improvement of data quality in databases have been an important issue. However, the re has yet to be a clear agreement on how to reasonably calculate the total cost of such project. In this pa per, based on real project data and budget statistics, we develop a model to estimate the cost for quality analysis an d improvement project of a database. We first conduct statistical analysis to build our basic model. Throughout this analysis, we have identified factors that determine the scale of works required to conduct the project and eventually d etermine the cost. In addition, we have identified factors that determine the complexity of the project. These factors can adjusts the cost determined by the scale of works. Our model is verified and improved by surveys on experts. We ap ply our model to newly conducted projects and observe that our model estimates the cost of each project reasonably we ll.
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