TITLE:
Research and Analysis of Structural Hole and Matching Coefficient
AUTHORS:
Penghua Cai, Hai Zhao, Hong Liu, Rong Pan, Zheng Liu, Hui Li
KEYWORDS:
Large-Scale Software, Trustworthy Measurement, Structural Holes, Matching Coefficient
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.3 No.11,
November
29,
2010
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.