DocumentCode :
501767
Title :
Mining Topology Characteristics and Evolution of Large-Scale Software from Core-Shell Structure
Author :
Haohua, Zhang ; Yufu, Deng ; Weiyi, Qi ; Wenjiang, Feng ; Liqing, Zhang
Author_Institution :
Coll. of Phys. Sci. & Technol., ShenYang Normal Univ., Shen´´yang, China
Volume :
2
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
45
Lastpage :
48
Abstract :
The networks of interdependencies in large-scale software systems are complex, understand and measurement become a key problem for developer. we propose that OO design structure can be quantitative analyzed and better understood via core-shell decomposition based on complex networks. The k-core analysis allows to characterize networks beyond the degree distribution and uncover structural hierarchies , centrality and evolution due to the specific architecture of the system. we analyze the core-shell structure of some popular open source software and discuss the differences and similarities, get some noticeable properties, the result show the k-core analysis provides an interesting characterization helping to understand the underlying structure and improve development.
Keywords :
data mining; object-oriented programming; public domain software; reverse engineering; software architecture; software maintenance; software metrics; topology; OO design structure; complex network; core-shell structure; k-core analysis; large-scale software evolution; large-scale software system complexity; large-scale software system understandability; mining topology characteristic; open source software; software architecture; Collaborative software; Complex networks; Educational institutions; Hybrid intelligent systems; Large-scale systems; Network topology; Open source software; Physics; Software measurement; Software systems; Complex networks; Core-shell; Coreness; Software structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.140
Filename :
5254417
Link To Document :
بازگشت