Using a knowledge learning framework to predict errors in database design

作者：

Highlights：

• Determines the relationship of designer expertise on ER modeling errors.

• Successfully predicts high/medium frequency errors caused by incorrect representation.

• Provides a methodology to measure task complexity and expertise with Bloom’s taxonomy.

• Provides guidelines for effectively structuring teaching modules for ER modeling.

摘要

•Determines the relationship of designer expertise on ER modeling errors.•Successfully predicts high/medium frequency errors caused by incorrect representation.•Provides a methodology to measure task complexity and expertise with Bloom’s taxonomy.•Provides guidelines for effectively structuring teaching modules for ER modeling.

论文关键词：Database design,Modeling expertise,Entity Relationship modeling,Revised Bloom's taxonomy,Analysis of errors

论文评审过程：Received 8 March 2012, Revised 18 June 2013, Accepted 6 August 2013, Available online 15 August 2013.

论文官网地址：https://doi.org/10.1016/j.is.2013.08.001