VertexRank: Importance Rank for Software Network Vertices

2014 ◽  
Author(s):  
Huan Luo ◽  
Yuan Dong ◽  
Yiying Ng ◽  
Shengyuan Wang
Keyword(s):  
Software Network

Communities and dynamical processes in a complex software network

2011 ◽  
Vol 390 (4) ◽  
pp. 741-748 ◽  
Author(s):  
Luis G. Moyano ◽  
Mary Luz Mouronte ◽  
Maria Luisa Vargas
Keyword(s):  
Dynamical Processes ◽  
Software Network

A Software Network Model for Software Structure and Faults Distribution Analysis

2019 ◽  
Vol 68 (3) ◽  
pp. 844-858 ◽  
Author(s):  
Jun Ai ◽  
Wenzhu Su ◽  
Shaoxiong Zhang ◽  
Yiwen Yang
Keyword(s):  
Network Model ◽  
Distribution Analysis ◽  
Software Structure ◽  
Software Network

scholarly journals Telecom Software, Network Virtualization, and Software Defined Networks

2020 ◽  
Vol 58 (4) ◽  
pp. 16-17
Author(s):  
Walter Cerroni ◽  
Alex Galis ◽  
Kohei Shiomoto ◽  
Mohamed Faten Zhani
Keyword(s):  
Network Virtualization ◽  
Software Defined Networks ◽  
Software Network

scholarly journals Telecom Software, Network Virtualization, and Software Defined Networks

2019 ◽  
Vol 57 (10) ◽  
pp. 40-41 ◽  
Author(s):  
Walter Cerroni ◽  
Alex Galis ◽  
Kohei Shiomoto ◽  
Mohamed Faten Zhani
Keyword(s):  
Network Virtualization ◽  
Software Defined Networks ◽  
Software Network

Testing Techniques of the Software Network Interface Based on the Capture and Analysis of the Packet

2012 ◽  
Vol 263-266 ◽  
pp. 1786-1791
Author(s):  
Song Yang Du ◽  
Jia Si Wang ◽  
Zhong Wei Chen ◽  
Di Ming Ai
Keyword(s):  
Complex Network ◽  
Network Interface ◽  
Software Network ◽  
Testing Techniques ◽  
Interface Protocol

Nowadays utilized through the network, the majority of the software has their own particular and complex network interface transmission protocols. Which makes the validation of the interface protocols becomes significant and difficult in the interface testing of the software. In this paper, the network interface protocol is analyzed to help validate the software network interface, based on the capture, analysis, construction and the transmission of the packet. By using this method, the software network interface will be more effectively tested.

scholarly journals Analysis on Influential Functions in the Weighted Software Network

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Haitao He ◽  
Chun Shan ◽  
Xiangmin Tian ◽  
Yalei Wei ◽  
Guoyan Huang
Keyword(s):  
Design Patterns ◽  
Experimental Results ◽  
Dependency Structure ◽  
Node Importance ◽  
Novel Approach ◽  
Software Network ◽  
Influential Nodes ◽  
Software Execution ◽  
Maintenance Process

Identifying influential nodes is important for software in terms of understanding the design patterns and controlling the development and the maintenance process. However, there are no efficient methods to discover them so far. Based on the invoking dependency relationships between the nodes, this paper proposes a novel approach to define the node importance for mining the influential software nodes. First, according to the multiple execution information, we construct a weighted software network (WSN) to denote the software execution dependency structure. Second, considering the invoking times and outdegree about software nodes, we improve the method PageRank and put forward the targeted algorithm FunctionRank to evaluate the node importance (NI) in weighted software network. It has higher influence when the node has lager value of NI. Finally, comparing the NI of nodes, we can obtain the most influential nodes in the software network. In addition, the experimental results show that the proposed approach has good performance in identifying the influential nodes.

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