Improving the quality of UML models in practice
Proceedings of the 28th international conference on Software engineering
A quality model for conceptual models of MDD environments
Advances in Software Engineering - Special issue on new generation of software metrics
Using a functional size measurement procedure to evaluate the quality of models in MDD environments
ACM Transactions on Software Engineering and Methodology (TOSEM) - In memoriam, fault detection and localization, formal methods, modeling and design
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Assuring quality in capturing and representing the systems requirements is extremely important. This study is aimed at understanding errors frequently committed by novice systems analysts in developing domain models using the Unified Modeling Language (UML). Understanding of errors that affect the quality of resulting conceptual models and the relationships among those errors would be beneficial to both practice and research. This paper reports the results from analyzing the class diagrams produced by teams of novice systems analysts as part of different e-business systems requirements specification. The results include errors grouped into different quality categories and some interesting observations on relationships among errors from different categories.