DocumentCode :
3335468
Title :
The Classification Stable Analysis Pattern
Author :
Fayad, M.E. ; Das, Somenath
Author_Institution :
San Jose State Univ., San Jose
fYear :
2007
fDate :
13-15 Aug. 2007
Firstpage :
707
Lastpage :
712
Abstract :
The main goal of this paper is to extract and document the core knowledge of the classification technique, as an analysis pattern that is usable in many different applications, where classification concept is required, rather than repeatedly building the concept from its scratch. The motivation behind the development of this pattern is to write a generic pattern, based entirely on the core classification concept, which is applicable in any application, and in any domain where classification is needed. To achieve this goal, this paper uses the concept of "software stability model" (SSM) to identify and isolate the core knowledge of classification from the application specific knowledge. Several scenarios chosen here to explore and probe will demonstrate the applicability and reusability of the pattern. This paper also provides a detailed documentation of the proposed pattern and demonstrates a number of benefits and advantages by demonstrating two case studies, which describe two completely different applications that use classification to solve specific problem in a specific domain.
Keywords :
pattern classification; software reusability; analysis pattern; classification technique; core classification concept; generic pattern; software stability model; Animals; Application software; Cancer; Documentation; Knowledge engineering; Logic; Organisms; Pattern analysis; Probes; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on
Conference_Location :
Las Vegas, IL
Print_ISBN :
1-4244-1500-4
Electronic_ISBN :
1-4244-1500-4
Type :
conf
DOI :
10.1109/IRI.2007.4296703
Filename :
4296703
Link To Document :
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