Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2004

Abstract

Systems have become increasingly complex, and as a result development methods have become more complex as well. The unified modeling language (UML) has been criticized for the often cited and sometimes over-whelming complexity it presents to its users, and those seeking to learn to use it. Using Rossi and Brinkkemper’s (1996) complexity metrics, Siau and Cao (2001) completed a complexity analysis of UML and 36 other modeling techniques, finding that UML is indeed more complex than other techniques. Siau, Erickson and Lee (2002) proposed that Rossi and Brinkkemper’s metrics present the theoretical maximum complexity, known as theoretical complexity. This is different from a practice-based complexity, known as practical complexity, that more accurately reflects the complexity of the language in practice. This research develops a subset of UML (a kernel) composed of the most commonly used constructs, that can be equated with the complexity that practitioners actually face when using the modeling language. A Delphi study is conducted using UML experts in identifying a use-based UML kernel. Metric analyses are then computed and analyzed.

Keywords

UML, complexity, complexity metrics, Delphi study, modeling method metrics

Discipline

Databases and Information Systems

Research Areas

Information Systems and Management

Areas of Excellence

Digital transformation

Publication

Proceedings of the Tenth Americas Conference on Information Systems (AMCIS 2004), New York, August 5-8

First Page

1669

Last Page

1674

Publisher

AMCIS

City or Country

New York

Additional URL

https://aisel.aisnet.org/amcis2004/198/

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