Cohort Studies for Mining Software Repositories

被引：0

作者：

Saarimaki, Nyyti ^{[1
]}

Vegas, Sira ^{[2
]}

Lenarduzzi, Valentina ^{[3
]}

Taibi, Davide ^{[3
]}

Robredo, Mikel ^{[3
]}

机构：

[1] Univ Luxembourg, Esch Sur Alzette, Luxembourg

[2] Univ Politecn Madrid, Madrid, Spain

[3] Univ Oulu, Oulu, Finland

来源：

2024 IEEE/ACM 21ST INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES, MSR | 2024年

关键词：

D O I：

10.1145/3643991.3649103

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Mining Software Repositories studies have become increasingly popular over the years. However, a notable limitation is that they report correlational relationships rather than establishing causation. In contrast, certain disciplines (e.g. epidemiology) have developed specific methods to address this limitation. The goal of this tutorial is to introduce participants to one such method: cohort studies. By the end of the tutorial, participants will be familiar with the steps and techniques involved in designing and analyzing cohort studies.

引用

页码：569 / 570

页数：2

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