Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
One major problem in applying object-oriented (OO) methodologies is the difficulty of identifying classes for a system. Many tried to use fuzzy set theory to model the objected-oriented system and many proposed linguistic method to do the object analysis. However, little work has been done to identify the classes in OO systematically. After carefully analyzing the cognitive procedure of human being, this paper proposes a two-step identification method: First, tracing the source (the entities in a real world) of a given system. Second, identifying classes via viewpoints based on the source. The method could help people find the intrinsic information and extrinsic concepts epistemologically and employs an informal procedure to get the classes of an OO system easily.
Z. Yu and H. Jin, "Identifying Classes via Cognitive Approach in Object-Oriented System," 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008(PACIIA), Wuhan, 2008, pp. 517-521.