Towards an integrated quality assessment and improvement approach for UML models

  • Authors:

  • Akhtar Ali Jalbani;Jens Grabowski;Helmut Neukirchen;Benjamin Zeiss

  • Affiliations:

  • Institute for Computer Science, University of Göttingen, Göttingen, Germany;Institute for Computer Science, University of Göttingen, Göttingen, Germany;Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Reykjavík, Iceland;Institute for Computer Science, University of Göttingen, Göttingen, Germany

  • Venue:
  • SDL'09 Proceedings of the 14th international SDL conference on Design for motes and mobiles
  • Year:
  • 2009

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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.