Automatic generation of graphical user interfaces for interactive database applications
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Deriving functional dependencies from the entity-relationship model
Communications of the ACM
A relational model of data for large shared data banks
Communications of the ACM
Usability engineering: scenario-based development of human-computer interaction
Usability engineering: scenario-based development of human-computer interaction
Efficient Discovery of Functional Dependencies and Armstrong Relations
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Relational Scaling and Databases
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Mining functional dependencies from data
Data Mining and Knowledge Discovery
Reverse engineering user interfaces for interactive database conceptual analysis
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
The transformational approach to database engineering
GTTSE'05 Proceedings of the 2005 international conference on Generative and Transformational Techniques in Software Engineering
From pattern-based user interfaces to conceptual schemas and back
ER'11 Proceedings of the 30th international conference on Conceptual modeling
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When designing the conceptual schema of a future information system, it is crucial to define a set of constraints that will guarantee the consistency of the subsequent database once it is implemented and operational. Eliciting and expressing such constraints and dependencies is far from trivial, especially when end-users are involved and when there is no directly usable data to play with. In this paper, we present an interactive process aimed to elicit hidden constraints such as value domains, functional dependencies, attribute and role optionality and existence constraints. Inspired by the principles of Armstrong relations, it attempts to acquire minimal data samples in order to validate declared constraints, to elicit hidden constraints and to reject irrelevant constraints in conceptual schemas. This process is part of the RAINBOW approach, destined to develop the data model of an information system based, among others, on the reverse engineering of user-drawn form-based interfaces.