The Influence Ranking for Software Classes

Hui Li, Guofeng Gao, X. Ge, Shikai Guo, Liying Hao
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引用次数: 2

Abstract

As the growth of software system scale and complexity, the risk of system collapse is rising because of the increasing software defects. Many defect detection and prediction methods are presented to solve this problem, but the effect is still not satisfied so far. Therefore, software network is brought in to analyze the system structure from the overall view of the system, and some methods have achieved satisfying results. In this paper, a weighted software network model is first presented to describe the software systems. Then a method of influence ranking for software classes (IRSC)is proposed to sort the propagation capacity of the underlying defect for all the classes. In the following, software defect implantation experiments are conducted and verified that IRSC method is effective on measuring the influence of the classes for software systems.
软件类影响力排名
随着软件系统规模和复杂性的增长,由于软件缺陷的增加,系统崩溃的风险也在上升。目前已有许多缺陷检测和预测方法来解决这一问题,但效果仍不理想。因此,引入软件网络从系统的整体角度对系统结构进行分析,一些方法取得了满意的效果。本文首次提出了一个加权软件网络模型来描述软件系统。在此基础上,提出了一种软件类影响排序方法(IRSC),对软件类中潜在缺陷的传播能力进行排序。下面进行了软件缺陷植入实验,验证了IRSC方法对于度量类对软件系统的影响是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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