The effects of relational and entity-relationship data models on query performance of end users
International Journal of Man-Machine Studies
A framework for studying human error behavior in conceptual database modeling
Information and Management
Comparing data modeling formalisms
Communications of the ACM
Spatial decision support systems: an overview of technology and a test of efficacy
Decision Support Systems
An analysis of semantic overload in database access systems using multi-table query formulation
Journal of Database Management
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
Three important determinants of user performance for database retrieval
International Journal of Human-Computer Studies
Understanding relationships with attributes in entity-relationship diagrams
ICIS '99 Proceedings of the 20th international conference on Information Systems
The effects of information request ambiguity and construct incongruence on query development
Decision Support Systems - Decision-making and E-commerce systems
Modern Systems Analysis and Design
Modern Systems Analysis and Design
An Implementation Methodology for Semantic Data Base Models
Proceedings of the 1st International Conference on the Entity-Relationship Approach to Systems Analysis and Design
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
An abbreviated concept-based query language and its exploratory evaluation
Journal of Systems and Software
An Object-Oriented Layered Approach to Interfaces for Hardware/Software Codesign of Embedded Systems
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Information Systems Research
Augmenting a Conceptual Model with Geospatiotemporal Annotations
IEEE Transactions on Knowledge and Data Engineering
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Number of Faults per Line of Code
IEEE Transactions on Software Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A study on the effects of routing symbol design on process model comprehension
Decision Support Systems
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Data models provide a map of the components of an information system. Prior research has indicated that more expressive conceptual data models (despite their increased size) result in better performance for problem solving tasks. An initial experiment using logical data models indicated that more expressive logical data models also enhanced end-user performance for information retrieval tasks. However, the principles of parsimony and bounded rationality imply that, past some point, increases in size lead to a level of complexity that results in impaired performance. The results of this study support these principles. For a logical data model of increased but still modest size, users composing queries for the more expressive logical data model did not perform as well as users composing queries for the corresponding less expressive but more parsimonious logical data model. These results indicate that, when constructing logical data models, data modelers should consider tradeoffs between parsimony and expressiveness.