Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10321258 | Data & Knowledge Engineering | 2005 | 16 Pages |
Abstract
It is important to articulate the objectives and underlying assumptions behind a growing body of experimental research in conceptual modeling. We provide four guidelines for developing materials for experiments that evaluate conceptual modeling techniques, under the assumption that a primary purpose of conceptual modeling is to facilitate communication between analysts and users in validating domain knowledge during systems development. These guidelines assist in developing experimental materials that support meaningful tests of domain semantics. We present empirical evidence indicating the value of two of the guidelines. We also evaluate selected recent experiments on conceptual modeling with respect to the guidelines.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jeffrey Parsons, Linda Cole,