Cognitive evaluation of information modeling methods

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

34 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)455-474
Journal / PublicationInformation and Software Technology
Volume49
Issue number5
Publication statusPublished - May 2007
Externally publishedYes

Abstract

In the field of information system engineering, information modeling method is a technique to capture user requirements and to understand system complexity. The importance of information modeling has been recognized by practitioners and researchers, but little has been explored to analyze the available information modeling methods or to evaluate them in terms of their strengths, weaknesses, and effectiveness. This research analyzes six information-modeling methods: use case diagram, rich picture diagram, entity-relationship diagram, Trochim's concept mapping, repertory grid, and causal mapping. These information-modeling methods are analyzed from a cognitive perspective in order to better understand their nature, the assumptions, and the important features associated. The research contributes to the understanding of the information modeling methods and their potential uses and values during IS development. © 2006 Elsevier B.V. All rights reserved.

Research Area(s)

  • Cognition, Information modeling methods, Methods evaluation

Bibliographic Note

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