DocumentCode
3760063
Title
Cognitive effectiveness of conceptual modeling languages: Examining professional modelers
Author
Dirk Van Der Linden;Irit Hadar
Author_Institution
Luxembourg Institute of Science and Technology, Luxembourg
fYear
2015
fDate
8/24/2015 12:00:00 AM
Firstpage
9
Lastpage
12
Abstract
Research on improving the cognitive effectiveness of conceptual modeling languages visual notations often lacks empirical consideration of the people and modeling tasks involved. Such consideration can generate insight into cognitive requirements set by different modeling tasks. In this position paper we propose an empirical research design for gaining a deeper understanding of the difference between the cognitive requirements of specific modeling tasks so that modeling notations can be improved, based on empirically grounded needs of professionals.
Keywords
"Unified modeling language","Visualization","Analytical models","Adaptation models","Grounding","Data models","Information systems"
Publisher
ieee
Conference_Titel
Empirical Requirements Engineering (EmpiRE), 2015 IEEE Fifth International Workshop on
Electronic_ISBN
2329-6356
Type
conf
DOI
10.1109/EmpiRE.2015.7431300
Filename
7431300
Link To Document