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Towards an Integrated Quality Assessment and Improvement Approach for UML Models

Akhtar Ali Jalbani19 Contact Information, Jens Grabowski19 Contact Information, Helmut Neukirchen20 Contact Information and Benjamin Zeiss19 Contact Information

(19)  Institute for Computer Science, University of Göttingen, Goldschmidt Str. 7, 37077 Göttingen, Germany
(20)  Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Dunhagi 5, 107 Reykjavík, Iceland
Abstract
Models defined using the Unified Modeling Language (UML) are nowadays common parts of software documentations, specifications and sometimes even implementations. However, there is a broad variety of how UML is used. Reasons can be found, for example, in the lack of generally accepted modeling norms and guidelines, the semi-formal semantics of UML, or the complexity of the language. In practice, these factors inevitably lead to quality problems in UML models that need to be addressed.We investigate and discuss existing work in the field of quality assessment and improvement of UML models and present how we envision an integrated approach to quality assessment and improvement of UML models. We assess a model with a Factor-Criteria-Metrics (FCM) based quality model, detect issues by finding smells and violated metric thresholds in UML models, and improve UML models by applying refactorings using model-to-model transformations.

Contact Information Akhtar Ali Jalbani
Email: ajalbani@informatik.uni-goettingen.de

Contact Information Jens Grabowski
Email: grabowski@informatik.uni-goettingen.de

Contact Information Helmut Neukirchen
Email: helmut@hi.is

Contact Information Benjamin Zeiss
Email: zeiss@informatik.uni-goettingen.de
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