Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
Activity modeling and behavior modeling
Proc. of the IFIP WG 8.1 working conference on Information systems design methodologies: improving the practice
An automated tool for relational database design
Information Systems
Data analysis and learning: an experimental study of data modeling tools
International Journal of Man-Machine Studies
Comparing representations with relational and EER models
Communications of the ACM
Database modeling and design: the entity-relationship approach
Database modeling and design: the entity-relationship approach
Software requirements: objects, functions, and states
Software requirements: objects, functions, and states
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Evaluation of vendor products: CASE tools as methodology companions
Communications of the ACM
Binary relationship imposition rules on ternary relationships in ER modeling
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Requirements specification: learning object, process, and data methodologies
Communications of the ACM
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Comparing data modeling formalisms
Communications of the ACM
Client/server databases: enterprise computing
Client/server databases: enterprise computing
End-user training and learning
Communications of the ACM
Understanding database design expertise
Data & Knowledge Engineering
Deriving functional dependencies from the entity-relationship model
Communications of the ACM
Analysis of binary/ternary cardinality combinations in entity-relationship modeling
Data & Knowledge Engineering
Entity-relationship and object-oriented data modeling—an experimental comparison of design quality
Data & Knowledge Engineering
Choosing classes in conceptual modeling
Communications of the ACM
Analysis patterns: reusable objects models
Analysis patterns: reusable objects models
Object models (2nd ed.): strategies, patterns, and applications
Object models (2nd ed.): strategies, patterns, and applications
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Knowledge-based systems as database design tools: a comparative study
Journal of Database Management
Improving database design through the analysis of relationships
ACM Transactions on Database Systems (TODS)
The impact of data models and task complexity on end-user performance: an experimental investigation
International Journal of Human-Computer Studies
A relational model of data for large shared data banks
Communications of the ACM
International Journal of Human-Computer Studies
Data Model Patterns: Conventions of Thought
Data Model Patterns: Conventions of Thought
Business Process Engineering
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
CODASYS: a consulting tool for novice database designers
ACM SIGMIS Database
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Human Problem Solving
Theory of Relational Databases
Theory of Relational Databases
Information Technology and Management
Impact of granularity on adjustment behavior in adaptive reuse of business process models
BPM'10 Proceedings of the 8th international conference on Business process management
Object class or association class? testing the user effect on cardinality interpretation
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Journal of Database Management
Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns
Journal of Database Management
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It is well known that conceptual database design is an unusually difficult and error-prone task for novice designers. To address the problem, at least two training approaches--rule-based and pattern-based--have been suggested. A rule-based approach prescribes a sequence in modelling the conceptual modelling constructs, and the action to be taken at each stage. A pattern-based approach presents data modelling structures that occur frequently in practice, and prescribes guidelines on how to recognize these structures. This paper describes the conceptual framework, experimental design, and results of a laboratory study that employed novice designers to compare the effectiveness of the two training approaches (between-subjects) at three levels of task complexity (within subjects). Results indicate an interaction effect between treatment and task complexity. The rule-based approach was significantly better in the low-complexity and the high-complexity cases; there was no statistical difference in the medium-complexity case. Designer performance fell significantly as complexity increased. Overall, although the rule-based approach was not significantly superior to the pattern-based approach, the study still recommends the rule-based approach for novice designers given the significantly better performance at two out of three complexity levels.