DocumentCode :
537318
Title :
A Random Walk Approach to Accurate Condensed Co-Change Graph
Author :
Sun Guang
Author_Institution :
Dept. of Inf. Manage., Hunan Univ. of Finance & Econ., Changsha, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
3
Abstract :
Recently, there have been many advances in the research underlying condensed co-change graph, but most research has focused on the discovery of the graph feature. There still few works have done with consideration that the mass unchanged artifacts profoundly effect on the clustering. This paper presents a method for constructing more accurate condensed co-change graph. By using random walk, all the unchanged artifacts can be merged completely on the condition that the changed artifacts greater than 50%. Analysis proves this approach is eligible.
Keywords :
graph theory; pattern clustering; software engineering; condensed cochange graph; data clustering; random walk approach; unchanged artifacts; Book reviews; Complex networks; Data mining; History; Merging; Servers; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5661309
Filename :
5661309
Link To Document :
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