Improving the quality of conceptual modeling using cognitive mapping techniques
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 343-365 |
| Journal / Publication | Data and Knowledge Engineering |
| Volume | 55 |
| Issue number | 3 |
| Publication status | Published - Dec 2005 |
| Externally published | Yes |
Link(s)
Abstract
Conceptual modeling involves the understanding and communication between system analysts and end-users. Many factors may affect the quality of conceptual modeling processes as well as the models per se. Human cognition plays a pivotal role in understanding these factors and cognitive mapping techniques are effective tools to elicit and represent human cognition. In this paper, we look at the use of cognitive mapping techniques to improve the quality of conceptual modeling. We review frameworks on quality in conceptual modeling and examine the role of human cognition in conceptual modeling. The paper also discusses how human cognition is related to quality in conceptual modeling, the various cognitive mapping techniques, and how these cognitive mapping techniques can be used in conceptual modeling. Through a case study, the paper describes ways of incorporating cognitive mapping techniques to a popular systems development methodology-Soft Systems Methodology-to improve the quality of conceptual modeling. © 2005 Elsevier B.V. All rights reserved.
Research Area(s)
- Cognitive mapping, Conceptual modeling, Quality, Requirements engineering, Systems development methodology
Bibliographic Note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
Citation Format(s)
Improving the quality of conceptual modeling using cognitive mapping techniques. / Siau, Keng; Tan, Xin.
In: Data and Knowledge Engineering, Vol. 55, No. 3, 12.2005, p. 343-365.
In: Data and Knowledge Engineering, Vol. 55, No. 3, 12.2005, p. 343-365.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
