Empirical Study on the Correlation between Software Structural Modifications and Its Fault-proneness

被引：2
|
作者：
Wang, Fei [1 ]
Ai, Jun [1 ]
Wang, Jiaming [1 ]
机构：
[1] Beihang Univ, Sch Reliabil & Syst Engn, Beijing, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C) | 2017年
关键词：
software bugs; software complex networks; structural modifications; fault prediction;
D O I：
10.1109/QRS-C.2017.125
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The rapidly increasing application of software contributes to the growing requirement of software quality. However, current software systems are far from being defect-free. Bugs are the root causes for various software/system failures. Although many rigorous quality assurance techniques are applied in the entire software life cycle, new bugs could be unintendedly injected during the software development process. Therefore, improving software quality by providing many practical indicators for fault prediction is significant. In this study, we performed an empirical study on 873 versions of 4 open-source projects to evaluate the degree of correlation between software structural changes and bugs. Our results could serve as a guide for software testing and development and a powerful tool for software fault prediction.
引用
收藏
页码：634 / 635
页数：2
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