Research and Analysis of Structural Hole and Matching Coefficient

Penghua Cai, Hai Zhao, Hong Liu, Rong Pan, Zheng Liu, Hui Li

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DOI: 10.4236/jsea.2010.311127                

Abstract

Measure is a map from the reality or experimental world to the mathematical world, through which people can more easily understand the properties of entities and the relationship between them. But the traditional software measurement methods have been unable to effectively measure this large-scale software. Therefore, trustworthy measurement gives an accurate measurement to these emerging features, providing valuable perspectives and different research dimensions to understand software systems. The paper introduces the complex network theory to software measurement methods and proposes a statistical measurement methodology. First we study the basic parameters of the complex network, and then introduce two new measurement parameters: structural holes, matching coefficient.

Keywords

Large-Scale Software, Trustworthy Measurement, Structural Holes, Matching Coefficient

Conflicts of Interest

The authors declare no conflicts of interest.

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