Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2005
Abstract
Systems development methods have become more complex, concurrently with many of today’s systems. UML has been criticized for its complexity. Using Rossi and Brinkkemper’s (1996) complexity metrics, Siau and Cao, (2001) completed a complexity analysis of UML and other modeling techniques, finding that UML is more complex than other techniques. Siau, Erickson and Lee (2002) proposed that Rossi and Brinkkemper’s metrics present the theoretical maximum complexity, as opposed to a practitioner-based complexity, that must be less than the theoretical maximum. Erickson and Siau (2004) proposed that a subset of UML (a kernel) composed of the most commonly used constructs, could be equated with the complexity that practitioners face when using UML. The current research extends Erickson and Siau’s (2004) work by analyzing UML complexity in the specific genre of real time systems. A Delphi study was conducted using expert practitioners, in an attempt to identify a use-based real-time UML kernel.
Keywords
UML, Complexity, Complexity metrics, Delphi study, Modeling method metrics, Real-Time systems
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
Proceedings of the 11th Americas Conference on Information Systems (AMCIS 2005), Omaha, Nebraska, August 11-15
First Page
3067
Last Page
3074
Publisher
AIS
City or Country
Atlanta
Citation
ERICKSON, J. and SIAU, Keng.
Toward practical measures of complexity in real-time modeling methods. (2005). Proceedings of the 11th Americas Conference on Information Systems (AMCIS 2005), Omaha, Nebraska, August 11-15. 3067-3074.
Available at: https://ink.library.smu.edu.sg/sis_research/9739
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://aisel.aisnet.org/amcis2005/505/