Abstract: Software structure complexity problems have been closely attention.With the increasing of the software scale,traditional metric methods have been difficult to adapt to the software development.In order to measure the software structure complexity effectively,we analyzed the relationship between the strength and closeness in the software weighted network,and calculated the general characteristics in the software sample collection based on the complex network theory.Firstly,we selected the software with a larger value parameter,and studied the nodes with a larger value in the strength and closeness in its corresponding software weighted network.Secondly,we contrasted and analyzed the attributes and functions of nodes with greater difference in sorting.Finally,we evaluated the two kinds of software structural complexity metric method,and concluded that the strength can measure the local structure complexity of the software,and closeness can measure the whole structure complexity of the software.

Key words: Software metrics,Weighted networks,Strength,Closeness,Software structural complexity