Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Understanding Quality in Conceptual Modeling
IEEE Software
The Data Modeling Handbook: A Best-Practice Approach to Building Quality Data Models
The Data Modeling Handbook: A Best-Practice Approach to Building Quality Data Models
Defining quality aspects for conceptual models
Proceedings of the IFIP international working conference on Information system concepts: Towards a consolidation of views
Enhancing the Quality of Conceptual Database Specifications through Validation
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
Benefits and Quality of Data Modelling - Results of an Empirical Analysis
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
An iterative requirements engineering framework based on Formal Concept Analysis and C-K theory
Expert Systems with Applications: An International Journal
Data models for version management of legislative documents
Journal of Information Science
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This paper presents a concept for the evaluation of data modeling which is based on existing theoretical approaches and an empirical study conducted by the author. The main results of this study with respect to evaluation suggest to focus more on organizational issues of modeling, more on process instead of product quality, to consider different application scenarios of data modeling as well as to distinguish the enterprise-wide evaluation of data modeling as an organizational function from the evaluation of single projects using data modeling. The concept consists of recommendations for the evaluation procedure, persons involved, instruments, the design of important organizational dimensions as well as concrete process measures.