DocumentCode :
2271928
Title :
A Software Component Classification Based on Facet and Neural Network
Author :
Jun-Tao, Liang ; Xiao-Yuan, Jiang
Author_Institution :
Inst. of Command Autom., PLA Univ. of Sci. & Tech., Nanjing
Volume :
3
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
906
Lastpage :
908
Abstract :
By the component libraries scaling up and the reuse practice deepening, the efficiency management of component repository is the precondition of component reuse. It is favorable for component reuse that components are organized in library according to felicitous classification. On the basis of introducing the faceted classification,this paper presents a component classification model based on facet and neural network, and experiment prove it in effect.
Keywords :
neural nets; object-oriented programming; pattern classification; software libraries; software reusability; component libraries; component reuse; facet network; neural network; software component classification model; Application software; Artificial intelligence; Automation; Classification tree analysis; Hardware; Information technology; Intelligent networks; Neural networks; Programming; Software libraries; component; facet; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.584
Filename :
4740129
Link To Document :
بازگشت