Understanding Quality in Conceptual Modeling
IEEE Software
AntiPatterns: refactoring software, architectures, and projects in crisis
AntiPatterns: refactoring software, architectures, and projects in crisis
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
The Elements of UML(TM) 2.0 Style
The Elements of UML(TM) 2.0 Style
The Materiality of the Internet
IEEE Annals of the History of Computing
Guiding the Application of Design Patterns Based on UML Models
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Software Structure Metrics Based on Information Flow
IEEE Transactions on Software Engineering
On the application of software metrics to UML models
MoDELS'06 Proceedings of the 2006 international conference on Models in software engineering
A metamodeling approach to pattern specification
MoDELS'06 Proceedings of the 9th international conference on Model Driven Engineering Languages and Systems
Domain-specific model verification with QVT
ECMFA'11 Proceedings of the 7th European conference on Modelling foundations and applications
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In object oriented software development, the Unified Modeling Language (UML) [21] has become the de-facto modeling standard. UML plays an important role for software factories, in which a high quality abstract UML model is the primary source of input used to generate a working system. While there are many tools that enable assisted refactoring of source code, there are few tools that enable assisted refactoring of UML models. In order to determine UML model quality for UML models used in code generation projects, a selection of quality metrics has been made. While there are a large number of metrics available to determine code quality, there are only a limited number of metrics applicable to UML models. Most model quality metrics have been derived from code quality metrics [16]. Syntactic and semantic model check rules have been implemented, that allow detection of undesirable model properties. The syntactic model checkers have been derived directly from the UML specification. The semantic model checkers have been derived from a range of anti-pattern descriptions. We have delivered a prototype that detects undesirable model features in order to test the model improvement capabilities. The prototype contains selected model quality metrics, syntactic and semantic model check rules. Both metrics and rules have been formulated in the Object Constraint Language (OCL) [21], which operates on UML models. The system is built using Open Source tools, allowing easy extensions of the prototype. The effects of suggested repair actions on the model are measurable through the selected model quality metrics and by subjective comparison. The prototype was able to improve model quality for four industry models both by metrics and subjective comparison.