Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Information Systems Research
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Empirical comparisons of animation and narration in requirements validation
Requirements Engineering
Semiology of graphics
Human Problem Solving
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Cognitive fit in requirements modeling: a study of object and process methodologies
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge
Information Systems Research
Journal of Management Information Systems
A cognitive model for understanding graphical perception
Human-Computer Interaction
IEEE Transactions on Software Engineering
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Conceptual Modelling is a cognitive intensive process. Prior research has acknowledged the importance of cognitive theories and their implications for Conceptual Modelling. Several authors have developed hypotheses to give modellers a hint how to improve their models. Although much effort has been made, researchers and practitioners cannot easily apply or broaden these hypotheses. Yet, they are forced to spend a lot of review work, as a comprehensive overview about past research is missing. With this paper we give a review of hypotheses developed from Cognition for Conceptual Modelling.