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A taxonomic class modeling methodology for object-oriented analysis
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/933
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| Title: | A taxonomic class modeling methodology for object-oriented analysis |
| Authors: | Song, Il-Yeol
Yano, Kurt
Trujillo, Juan
Lucan-Mora, Sergio |
| Keywords: | object-oriented analysis
class modeling
Unified Modeling Language
UML
taxonomic class modeling
conceptual model |
| Issue Date: | 2004 |
| Publisher: | Idea Publishing Group |
| Citation: | In Information Modeling Methods and Methodologies, Advanced Topics in Databases Series, Ed. (J Krostige, T. Halpin, K. Siau), pp. 216-240. Retrieved 6/26/2006 from http://www.ischool.drexel.edu/faculty/song/publications/p_TCM-ISM-2004.pdf. |
| Abstract: | Discovering a set of domain classes during object-oriented analysis is
intellectually challenging and time-consuming for novice analyzers. This chapter
presents a taxonomic class modeling (TCM) methodology that can be used for
object-oriented analysis in business applications. Our methodology helps us
discover the three types of classes: (1) classes represented by nouns in the
requirement specification, (2) classes whose concepts were represented by verb
phrases, and (3) hidden classes that were not explicitly stated in the requirement
specification. Our approach synthesizes several different class modeling
techniques under one framework. Our framework integrates the noun analysis
method, class categories, English sentence structures, check lists, and other
heuristic rules for modeling. We illustrate our approach using a detailed case
study and summarize the results of several other case studies. Our teaching
experience shows that our method is effective in identifying classes for many
business applications. |
| URI: | http://hdl.handle.net/1860/933 |
| Appears in Collections: | Faculty Research and Publications (IST)
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