DocumentCode :
2586622
Title :
Mining Important Topological Properties in Large-Scale Computer Software Systems Based on Complex Networks
Author :
Sun, Shiwen ; Xia, Chengyi ; Li Wang ; Wang, Lanying
Author_Institution :
Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2010
fDate :
19-20 Dec. 2010
Firstpage :
25
Lastpage :
28
Abstract :
Recently, large-scale computer software systems have attached a great deal of attention when they are regarded as complex networks composed of interacting units. In this paper, the collaboration relationships between header files in the source code of Linux kernels are analyzed by constructing a weighted File Collaboration Network(FCN): each node represents a header file, two nodes are connected if corresponding header files are both included in the same source file at least once, also the link weight is assigned to evaluate the intensity of co inclusion of two header files. Through using appropriate non-weighted and weighted quantities, structural properties of FCNs are characterized and analyzed. The study of large-scale softwares from the viewpoint of complex networks can provide a better description of the organizational principles and evolving mechanism of complex software systems.
Keywords :
Linux; complex networks; computer software; groupware; operating system kernels; peer-to-peer computing; FCN; Linux kernel; co-inclusion intensity; collaboration relationship; complex network; header files; large scale computer software system; link weight; nonweighted quantity; organizational principle; source code; structural property; topological property mining; weighted file collaboration network; Software engineering; Complex Network; File Collaboration Network (FCN); Linux Kernel; Topological Properties; Weighted Quanties;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (WCSE), 2010 Second World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9287-9
Type :
conf
DOI :
10.1109/WCSE.2010.135
Filename :
5718340
Link To Document :
بازگشت