Metrics for evaluating the quality of entity relationship models

Daniel L. Moody

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

91 Citations (Scopus)

Abstract

This paper defines a comprehensive set of metrics for evaluating the quality of Entity Relationship models. This is an extension of previous research which developed a conceptual framework and identified stakeholders and quality factors for evaluating data models. However quality factors are not enough to ensure quality in practice, because different people will have different interpretations of the same concept. The objective of this paper is to refine these quality factors into quantitative measures to reduce subjectivity and bias in the evaluation process. A total of twenty five candidate metrics are proposed in this paper, each of which measures one of the quality factors previously defined. The metrics may be used to evaluate the quality of data models, choose between alternatives and identify areas for improvement.
Original languageEnglish
Title of host publicationConceptual Modeling – ER ’98
Subtitle of host publication17th International Conference on Conceptual Modeling, Singapore, November 16-19, 1998. Proceedings
EditorsTok-Wang Ling, Sudha Ram, Mong Li Lee
PublisherSpringer
Pages211-225
ISBN (Electronic)978-3-540-49524-6
ISBN (Print)978-3-540-65189-5
DOIs
Publication statusPublished - 1998

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume1507
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Quality factor
  • User requirement
  • Integrity constraint
  • International standard organisation
  • Total quality management

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