Class level research on modifying information transmission path of the cooperative network based on the cohesion of class

Xiaolin Zhao, Jingfeng Xue*, Yiman Zhang, Qi Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The traditional and mainstream method to study the software system with the complex network is building a collaborative network of the software system on the class level, which is effective to study the software complexity. In the class collaborative network, if the information is passed from a node, it may pass through the nodes at different probabilities. So, the node can block some information dissemination. Due to this feature, there are some problems, such as traverse path errors, inaccuracy of topological properties, inaccuracy propagation domains and propagation costs. Therefore, this paper explores the attributes that affect the probability that information dissemination based on the comparison between topological property of network class nodes and the structure of class. Besides, this paper defines the cohesion of matrix and designs a method of using the cohesive matrix to eliminate the error traversal path method. The experiment shows that this method is valid and effective to exclude error path and is great significant for the class collaborative network.

Original languageEnglish
Title of host publicationFuzzy Systems and Data Mining III - Proceedings of FSDM 2017
EditorsAntonio J. Tallon-Ballesteros, Kaicheng Li
PublisherIOS Press BV
Pages494-510
Number of pages17
ISBN (Electronic)9781614998273
DOIs
Publication statusPublished - 2017
Event3rd International Conference on Fuzzy Systems and Data Mining, FSDM 2017 - Hualien, Taiwan, Province of China
Duration: 24 Nov 201727 Nov 2017

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume299
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference3rd International Conference on Fuzzy Systems and Data Mining, FSDM 2017
Country/TerritoryTaiwan, Province of China
CityHualien
Period24/11/1727/11/17

Keywords

  • Collaborative
  • Complex network
  • Network security
  • Software metrics

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