Title :
Identifying Classes via Cognitive Approach in Object-Oriented System
Author :
Yu, Zhibin ; Jin, Hai
Author_Institution :
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
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.
Keywords :
fuzzy set theory; object-oriented programming; cognitive approach; fuzzy set theory; linguistic method; object-oriented system; two-step identification method; Application software; Computational intelligence; Computer industry; Computer science; Conferences; Formal specifications; Grid computing; Humans; Object oriented modeling; Software systems;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.287