Date of Award


Publication Type

Master Thesis

Degree Name



Computer Science

First Advisor

Li, Liwu,


Computer Science.




Object-oriented programming language has gained popularity in recent years. However, some problems exist in object-oriented programming languages. It works well with static classification, but does not support object dynamic classification. Static classification means an object always and only belongs to one class during its life spans. In real-world applications, objects may belong to different classes rendering different roles certain times during the lifetime. Dynamic classification enables the changing of object classification over time. Objects can be classified and declassified into/from acquire and release class membership during runtime. In this thesis, many approaches to dynamic classification will be discussed in different implementing languages. Based on the thorough reviews of these approaches, we give a new approach. This approach combines the concept of object and roles and extends a class hierarchy with dynamic classification. The syntax of dynamic classification shows how to implement the function of dynamic classification in the object-oriented programming language. Finally, we present a preprocessor, by which a C♯ code including the extendable dynamic classification functions can be translated to standard C♯ code.Dept. of Computer Science. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .W364. Source: Masters Abstracts International, Volume: 43-03, page: 0892. Adviser: Liwu Li. Thesis (M.Sc.)--University of Windsor (Canada), 2004.