Association Metrics Between Two Continuous Variables for Software Project Data

被引：0
|
作者：
Kanehira, Takumi [1 ]
Monden, Akito [1 ]
Yucel, Zeynep [1 ]
机构：
[1] Okayama Univ, Grad Sch Nat Sci & Technol, Okayama, Japan
来源：
22ND IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD 2021-FALL) | 2021年
关键词：
Software metrics; correlation coefficient; soft-ware project data analysis;
D O I：
10.1109/SNPD51163.2021.9704983
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The correlation coefficient is commonly used in analyses of software project data sets for the purpose of quantifying the relationship between two variables. However, while there are various types of relationships between two variables, the correlation coefficient cannot distinguish between these types. This study proposes new metrics between two continuous variables that havethe potential to characterize the relationship types.
引用
收藏
页码：242 / 247
页数：6
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