An Empirical Study of Software Metrics
IEEE Transactions on Software Engineering
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Object-oriented modeling and design
Object-oriented modeling and design
Understanding Quality in Conceptual Modeling
IEEE Software
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Database design for smarties: using UML for data modeling
Database design for smarties: using UML for data modeling
Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
A Framework of Software Measurement
A Framework of Software Measurement
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Software Measurement: A Necessary Scientific Basis
IEEE Transactions on Software Engineering
Towards a Framework for Software Measurement Validation
IEEE Transactions on Software Engineering
A Methodology for the Design and Transformation of Conceptual Schemas
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Towards a Deeper Understanding of Quality in Requirements Engineering
CAiSe '95 Proceedings of the 7th International Conference on Advanced Information Systems Engineering
Quantitative Approaches in Object-Oriented Software Engineering
Proceedings of the Workshop on Object-Oriented Technology
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
Metrics for XML Document Collections
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Conceptual Modeling Quality - From EER to UML Schemas Evaluation
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Applying a framework for the improvement of software process maturity
Software—Practice & Experience
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Managing software process measurement: A metamodel-based approach
Information Sciences: an International Journal
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Database quality depends greatly on the accuracy of the requirement specification and the greatest effort should focus on improving the early stages of database life cycle. Conceptual data models form the basis of all later design work and determine what information can be represented by a database. So, its quality has a significant impact on the quality of the database which is ultimately implemented. In this work, we propose a set of metrics for measuring entity relationship diagram complexity, because in today's database design world it is still the dominant method of conceptual modelling. The early availability of metrics allows designers to measure the complexity of entity-relationship diagrams in order to improve database quality from the early stages of their life cycle. Also we carried out a controlled experiment in order to analyse the existent relationships between each of the proposed metrics and each of the maintainability sub-characteristics. In order to analyse the obtained empirical data we propose a novel data analysis technique based on fuzzy regression trees.