Reviewing Software Diagrams: A Cognitive Study
IEEE Transactions on Software Engineering
Improving graphical information system model use with elision and connecting lines
ACM Transactions on Computer-Human Interaction (TOCHI)
The influence of information presentation formats on complex task decision-making performance
International Journal of Human-Computer Studies
Information Systems Research
A Framework for Empirical Evaluation of Model Comprehensibility
MISE '07 Proceedings of the International Workshop on Modeling in Software Engineering
Theoretical and practical complexity of modeling methods
Communications of the ACM
Quality and comprehension of UML interaction diagrams-an experimental comparison
Information and Software Technology
Visualization of Network Concepts: The Impact of Working Memory Capacity Differences
Information Systems Research
Conceptual modeling of causal map: Object oriented causal map
Expert Systems with Applications: An International Journal
Information and Software Technology
Cognitive effectiveness of visual instructional design languages
Journal of Visual Languages and Computing
Analysing the cognitive effectiveness of the BPMN 2.0 visual notation
SLE'10 Proceedings of the Third international conference on Software language engineering
Analysing the cognitive effectiveness of the UCM visual notation
SAM'10 Proceedings of the 6th international conference on System analysis and modeling: about models
Journal of Systems and Software
Benefits of supplementing use case narratives with activity diagrams-An exploratory study
Journal of Systems and Software
Rules from cognition for conceptual modelling
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Information Resources Management Journal
Visualizing an information technology project: The role of powerpoint presentations over time
Information and Organization
Visualizing technology mining results on life cycle axes: A study of server virtualization
Information-Knowledge-Systems Management
Hi-index | 0.06 |
In order to understand diagrammatic reasoning with multiple diagrams, this study proposes a theoretical framework that focuses on the cognitive processes of perceptual and conceptual integration. The perceptual integration process involves establishing interdependence between relevant system elements that have been dispersed across multiple diagrams, while the conceptual integration process involves generating and refining hypotheses about a system by combining higher-level information inferred from the diagrams. This study applies a diagrammatic reasoning framework of a single diagram to assess the usability of multiple diagrams as an integral part of a system development methodology. Our experiment evaluated the effectiveness and usability of design guidelines to aid problem solving with multiple diagrams. The results of our experiment revealed that understanding a system represented by multiple diagrams involves a process of searching for related information and of developing hypotheses about the target system. The results also showed that these perceptual and conceptual integration processes were facilitated by incorporating visual cues and contextual information in the multiple diagrams as representation aids. Visual cues indicate which elements in a diagram are related to elements in other diagrams; the contextual information indicates how the individual datum in one diagram is related to the overall hypothesis about the entire system.