Understanding Quality in Conceptual Modeling
IEEE Software
Effects of defects in UML models: an experimental investigation
Proceedings of the 28th international conference on Software engineering
A qualitative investigation of UML modeling conventions
MoDELS'06 Proceedings of the 2006 international conference on Models in software engineering
An experimental investigation of UML modeling conventions
MoDELS'06 Proceedings of the 9th international conference on Model Driven Engineering Languages and Systems
A qualitative investigation of UML modeling conventions
MoDELS'06 Proceedings of the 2006 international conference on Models in software engineering
Random thoughts on multi-level conceptual modelling
The evolution of conceptual modeling
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Analogue to the more familiar notion of coding conventions, modeling conventions attempt to ensure uniformity and prevent common modeling defects. While it has been shown that modeling conventions can decrease defect density, it is currently unclear whether this decreased defect density results in higher model quality, i.e., whether models created with modeling conventions exhibit higher fitness for purpose. In a controlled experiment with 27 master-level computer science students, we evaluated quality differences between UML analysis and design models created with and without modeling conventions. We were unable to discern significant differences w.r.t. the clarity, completeness and validity of the information the model is meant to represent. We interpret our findings as an indication that modeling conventions should guide the analyst in identifying what information to model, as well as how to model it, lest their effectiveness be limited to optimizing merely syntactic quality.