Topological Structure Analysis of Software Using Complex Network Theory

Author:

Xu Xinxin1ORCID,Zhang Zengyou1,Liang Yan2ORCID,Wang Liya1ORCID

Affiliation:

1. College of Artificial Intelligence, Zhejiang Industry & Trade Vocational College, Zhejiang 325003, China

2. School of Business, Shanghai Jianqiao University, Shanghai 201306, China

Abstract

Due to people’s increasing dependence on software, the emergence of software defects will lead to serious consequences. And the essential cause of software defects is the increasing complexity of software. The premise of reducing software defects is to understand the software topology to ensure software quality. The software topology refers to the connection between the internal elements of the software, and it has become an important factor affecting the quality of the software. In this paper, we use complex network theory as a tool to analyze the software topology. Firstly, we extract the software structural information from the source code of the software system and abstract the extracted software structural information with software network theory. Secondly, the metrics widely used in complex networks are introduced to analyze the built software network. When tracking the values of these metrics in the software system, we have a deeper understanding of the software topology. These results provide a different dimension to understanding the software topology, which has important guiding significance for the subsequent understanding of the software and is also very useful for reducing software defects and ensuring software quality.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Network Community Detection in Connectomics Data using Graph Theory;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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