Understanding Quality in Conceptual Modeling
IEEE Software
Conceptual Modeling Quality - From EER to UML Schemas Evaluation
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Proceedings of the 25th International Conference on Software Engineering
Using ontology to validate conceptual models
Communications of the ACM - Service-oriented computing
Measurement: the key to application development quality
IBM Systems Journal
A comparison of metrics for UML class diagrams
ACM SIGSOFT Software Engineering Notes
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Defining and validating metrics for assessing the understandability of entity-relationship diagrams
Data & Knowledge Engineering
A practical guide to testing the understandability of notations
APCCM '08 Proceedings of the fifth Asia-Pacific conference on Conceptual Modelling - Volume 79
ER'07 Proceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications
CM-Quality: a pattern-based method and tool for conceptual modeling evaluation and improvement
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Support for quality metrics in metamodelling
Proceedings of the Second Workshop on Graphical Modeling Language Development
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Data quality has emerged as an important and challenging topic in recent years. This article addresses the conceptual model quality as it has been widely accepted that better conceptual models produce better information systems and thus implicitly improve the data quality. Conceptual Models are designed as part of the analysis phase and serve as a communicating mediator between the users and the development team. Consequently, their understandability is a real challenge to avoid the propagation of inaccurate interpretation of the user requirements to the underlying system design and implementation. In this paper, we propose an adaptive quality model. We illustrate its usefulness by describing how it can be used to model and evaluate the understandability of conceptual models. Our quality evaluation is enriched with corrective actions provided to the designer, leading to a guidance modeling process. A first validation based on a survey is proposed.