A Novel Component Ranking Method for Improving Software Reliability

被引：2
|
作者：
Xue, Lixing [1 ]
Zuo, Decheng [1 ]
Zhang, Zhan [1 ]
Wu, Na [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2017年 / E100D卷 / 10期
关键词：
large-scale system; component ranking; reliability; inverse pagerank;
D O I：
10.1587/transinf.2017EDL8043
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a component ranking method to identify important components which have great impact on the system reliability. This method, which is opposite to an existing method, believes components which frequently invoke other components have more impact than others and employs component invocation structures and invocation frequencies for making important component ranking. It can strongly support for improving the reliability of software systems, especially large-scale systems. Extensive experiments are provided to validate this method and draw performance comparison.
引用
收藏
页码：2653 / 2658
页数：6
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