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Towards an Integrated Quality Assessment and Improvement Approach for UML Models
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Towards an Integrated Quality Assessment and Improvement Approach for UML Models
Akhtar Ali Jalbani19 , Jens Grabowski19 , Helmut Neukirchen20 and Benjamin Zeiss19 
| (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.
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