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An Improved Approach to Identifying Key Classes in Weighted Software Network
- Source :
- Mathematical Problems in Engineering, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- To help the newcomers understand a software system better during its development, the key classes are in general given priority to be focused on as soon as possible. There are numerous measures that have been proposed to identify key nodes in a network. As a metric successfully applied to evaluate the productivity of a scholar, little is known about whetherh-index is suitable to identify the key classes in weighted software network. In this paper, we introduced fourh-index variants to identify key classes on three open-source software projects (i.e., Tomcat, Ant, and JUNG) and validated the feasibility of proposed measures by comparing them with existing centrality measures. The results show that the measures proposed not only are able to identify the key classes but also perform better than some commonly used centrality measures (the improvement is at least 0.215). In addition, the finding suggests that mE-Weight defined by the weight of a node’s topkedges performs best as a whole.
- Subjects :
- Software network
Article Subject
General Mathematics
02 engineering and technology
Machine learning
computer.software_genre
01 natural sciences
Software
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Software system
010306 general physics
Mathematics
business.industry
lcsh:Mathematics
Node (networking)
General Engineering
020207 software engineering
lcsh:QA1-939
Index (publishing)
lcsh:TA1-2040
Key (cryptography)
Metric (unit)
Artificial intelligence
Data mining
lcsh:Engineering (General). Civil engineering (General)
business
Centrality
computer
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....64b93ff95d4a31fe0c4b61a8a26b36b1