Theoretical versus practical complexity: The case of UML
Alternative Title
Theoretical vs. practical complexity: The case of UML
Publication Type
Journal Article
Publication Date
1-2005
Abstract
Unified Modeling Language (UML) is the standard visual modeling language for Object Oriented (OO) systems development, but it has been criticized for its complexity, inconsistent semantics, and ambiguous constructs. A set of complexity indices for UML and the nine diagramming techniques in UML was compiled recently. The complexity analysis is formulated based on the number of constructs, associations, roles, and so forth, in a modeling method. We argue that this set of metrics provides an indication of the theoretical complexity of the modeling methods. On the other hand, the theoretical complexity of the modeling methods does not necessarily relate to the practical complexity. We hypothesize that UML’s complexity is not as daunting as the metrics imply, because not all the constructs are used all the time. Thus, in addition to theoretical complexity, a set of metrics for estimating practical complexity can be developed, based on the most commonly used constructs (instead of all constructs). In this research, we use secondary data to test our hypothesis that practical complexity is different from theoretical complexity.
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Publication
Journal of Database Management
Volume
16
Issue
3
First Page
40
Last Page
57
ISSN
1063-8016
Identifier
10.4018/jdm.2005070103
Publisher
IGI Global
Citation
SIAU, Keng; ERICKSON, John; and LEE, LihYunn.
Theoretical versus practical complexity: The case of UML. (2005). Journal of Database Management. 16, (3), 40-57.
Available at: https://ink.library.smu.edu.sg/sis_research/9950
Additional URL
https://doi.org/10.4018/jdm.2005070103