Informational and computational equivalence in comparing information modeling methods

Publication Type

Journal Article

Publication Date

10-2004

Abstract

Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of modeling methods, but the proliferation of modeling methods with little theoretical foundation and empirical evidence to support their usefulness. Evaluation techniques are, therefore, necessary to compare and contrast these modeling methods. In this paper, we suggest an evaluation approach based on the human information processing paradigm and the theory of equivalence of representations. This evaluation approach proposes that modeling methods can be evaluated and compared using two criteria: informational and computational equivalence.

Keywords

Cognitive psychology, Computational equivalence, Evaluation technique, Human factors, Informational equivalence, Modeling methods, Unified modeling language (UML)

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Information Systems and Management; Data Science and Engineering

Publication

Journal of Database Management

Volume

15

Issue

1

First Page

73

Last Page

86

ISSN

1063-8016

Identifier

10.4018/jdm.2004010103

Publisher

IGI Global

Additional URL

https://doi.org/10.1109/10.4018/jdm.2004010103

This document is currently not available here.

Share

COinS