Publication Type

Journal Article

Version

publishedVersion

Publication Date

5-2007

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.

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Data Science and Engineering

Areas of Excellence

Digital transformation

Publication

Information and Software Technology

Volume

49

Issue

5

First Page

455

Last Page

474

ISSN

0950-5849

Identifier

10.1016/j.infsof.2006.07.001

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/j.infsof.2006.07.001

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