Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Understanding Quality in Conceptual Modeling
IEEE Software
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Validation of an Approach for Improving Existing Measurement Frameworks
IEEE Transactions on Software Engineering
Organizational concepts and measures for the evaluation of data modeling
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Proceedings of the IFIP international working conference on Information system concepts: Towards a consolidation of views
A Controlled Experiment for Validating Class Diagram Structural Complexity Metrics
OOIS '02 Proceedings of the 8th International Conference on Object-Oriented. Information Systems
Conceptual Modeling Quality - From EER to UML Schemas Evaluation
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Stakeholder Discovery and Classification Based on Systems Science Principles
APAQS '01 Proceedings of the Second Asia-Pacific Conference on Quality Software
Aspects of the Stakeholder Concept and their Implications for Information Systems Development
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Empirical comparisons of animation and narration in requirements validation
Requirements Engineering
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Evaluating quality of conceptual models based on user perceptions
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Quality Patterns for Conceptual Modelling
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Transformation-based framework for the evaluation and improvement of database schemas
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Quality evaluation and improvement framework for database schemas - using defect taxonomies
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
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Frequently the behaviour of an information system is functionally correct, but it does not meet some quality criteria, such as completeness, consistency, and usability. One way to enhance the capability of an information system is to consider its conceptual model quality as well as its functional behaviour. Conceptual model quality can be defined as a set of perceivable characteristics expressed with quantifiable parameters that may be objective and/or subjective. The aim of this empirical investigation is to evaluate and compare perceived and measured quality of different conceptual model versions of the same universe of discourse. This paper describes: a) a set of metrics (clarity, simplicity, expressiveness, minimality) applied to different versions of ER conceptual schemas, b) a framework enabling a comprehensive comparison of the conceptual schemas, c) an experimentation leading to the evaluation of the same schemas by information system (IS) stakeholders such as designers, end-users, and students, d) a comparison of the objective and subjective evaluations based on a sample of about 120 observations using different statistical methods. First results indicate that there exists a strong relationship between perceived and measured quality. A second result reveals a significant difference between groups of respondents in their ways to perceive conceptual schemas quality. Based on our experiment, we are able to identify quality criteria relevant to different groups of stakeholders, depending on several dimensions, such as their professional experience, and/or their specialization degree.