Understanding Quality in Conceptual Modeling
IEEE Software
Representational congruence and information retrieval: towards an extended model of cognitive fit
Decision Support Systems
Using a semiotic framework to evaluate UML for the development of models of high quality
Unified modeling language
Aris-Business Process Modeling
Aris-Business Process Modeling
Towards a Deeper Understanding of Quality in Requirements Engineering
CAiSe '95 Proceedings of the 7th International Conference on Advanced Information Systems Engineering
A Semiotic Approach to Quality in Requirements Specifications
Proceedings of the IFIP TC8 / WG8.1 Working Conference on Organizational Semiotics: Evolving a Science of Information Systems
Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Improving information requirements determination: a cognitive perspective
Information and Management
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Proceedings of the 25th International Conference on Software Engineering
Using ontology to validate conceptual models
Communications of the ACM - Service-oriented computing
The Elements of UML(TM) 2.0 Style
The Elements of UML(TM) 2.0 Style
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Improving the quality of conceptual modeling using cognitive mapping techniques
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
A semiotic metrics suite for assessing the quality of ontologies
Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
Systems Analysis and Design Methods
Systems Analysis and Design Methods
Systems Analysis and Design, Seventh Edition
Systems Analysis and Design, Seventh Edition
Collaborative Modeling - A Design Science Approach
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Systems Analysis and Design
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
What makes process models understandable?
BPM'07 Proceedings of the 5th international conference on Business process management
An experimental investigation of UML modeling conventions
MoDELS'06 Proceedings of the 9th international conference on Model Driven Engineering Languages and Systems
Measuring the perceived semantic quality of information models
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Tying process model quality to the modeling process: the impact of structuring, movement, and speed
BPM'12 Proceedings of the 10th international conference on Business Process Management
Collaborative Usage and Development of Models: State of the Art, Challenges and Opportunities
International Journal of e-Collaboration
Group Consensus in Business Process Modeling: A Measure and Its Application
International Journal of e-Collaboration
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Modeling is now an essential ingredient in business process management and information systems development. The general usefulness of models in these areas is therefore generally accepted. It is also undisputed that the quality of the models has a significant impact on their usefulness. In the literature we can find any number of quality metrics, but hardly any study that investigates their relation with (perceived) usefulness and none that considers their relative impact on usefulness. We take a look at some of the most frequent quality dimensions and their relative impact on the perceived usefulness of models.