Software requirements: analysis and specification
Software requirements: analysis and specification
Object oriented design with applications
Object oriented design with applications
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Understanding Quality in Conceptual Modeling
IEEE Software
Toward quality data: an attribute-based approach
Decision Support Systems - Special issue on information technologies and systems
Anchoring data quality dimensions in ontological foundations
Communications of the ACM
The measurement of user information satisfaction
Communications of the ACM
Data Quality Requirements Analysis and Modeling
Proceedings of the Ninth International Conference on Data Engineering
Improving Quality in Conceptual Modelling by the Use of Schema Transformations
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
Improving the Quality of Entity Relationship Models - Experience in Research and Practice
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Metrics for Evaluating the Quality of Entity Relationship Models
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
The Guidelines of Modeling - An Approach to Enhance the Quality in Information Models
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Evaluating the quality of reference models
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Measures for assessing dynamic complexity aspects of object-oriented conceptual schemes
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Measuring the quality of entity relationship diagrams
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Building measure-based prediction models for UML class diagram maintainability
Empirical Software Engineering
Evaluating quality of conceptual modelling scripts based on user perceptions
Data & Knowledge Engineering
Defining and validating metrics for assessing the understandability of entity-relationship diagrams
Data & Knowledge Engineering
Perceived vs. measured quality of conceptual schemas: an experimental comparison
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Proceedings of the first international workshop on Model driven service engineering and data quality and security
An agile process for the creation of conceptual models from content descriptions
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
A quality model for conceptual models of MDD environments
Advances in Software Engineering - Special issue on new generation of software metrics
QUIMERA: a quality metamodel to improve design rationale
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Use case modeling and refinement: a quality-based approach
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Enforcement of conceptual schema quality issues in current integrated development environments
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
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This exploratory research investigates the evaluation process of conceptual specifications developed using either Extended Entity-Relationship (EER) or Unified Modeling Language (UML) conceptual models. In this paper, we provide a comprehensive framework for evaluating EER and UML conceptual schemas. Furthermore, we define classes of metrics facilitating the evaluation process and leading to the choice of the appropriate representation among several schemas describing the same reality. Based on quality criteria proposed in the literature, we select a subset of criteria relevant to conceptual EER schema quality evaluation. For each criterion we define one or several metrics allowing the designer to measure the schema quality. We evaluate alternative EER conceptual schemas representing the same universe of discourse using the appropriate criteria and their associated metrics. Finally, we extrapolate this evaluation process to UML schemas. Following the development of our framework, we analyze a case study and provide evidence in the support of the usefulness of the framework.