Cohort Studies for Mining Software Repositories

Nyyti Saarimaki; Sira Vegas; Valentina Lenarduzzi; Davide Taibi; Mikel Robredo

doi:10.1145/3643991.3649103

Cohort Studies for Mining Software Repositories

Nyyti Saarimaki^*
, Sira Vegas
, Valentina Lenarduzzi
, Davide Taibi
, Mikel Robredo

^*Corresponding author for this work

Computing Sciences

Research output: Other conference contribution › Scientific

1 Citation (Scopus)

4 Downloads (Pure)

Abstract

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.

Original language	English
Pages	569-570
Number of pages	2
DOIs	https://doi.org/10.1145/3643991.3649103
Publication status	Published - 2024
Publication type	Not Eligible
Event	IEEE/ACM International conference on mining software repositories - Lisbon, Portugal Duration: 15 Apr 2024 → 16 Apr 2024

Conference

Conference	IEEE/ACM International conference on mining software repositories
Country/Territory	Portugal
City	Lisbon
Period	15/04/24 → 16/04/24

Keywords

Cohort Study
Empirical Software Engineering
MSR

ASJC Scopus subject areas

Computer Science Applications
Software
Safety, Risk, Reliability and Quality

Access to Document

10.1145/3643991.3649103Licence: CC BY

3643991.3649103Final published version, 431 KBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202502051988Licence: CC BY

Cite this

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title = "Cohort Studies for Mining Software Repositories",

abstract = "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.",

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doi = "10.1145/3643991.3649103",

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TY - CONF

T1 - Cohort Studies for Mining Software Repositories

AU - Saarimaki, Nyyti

AU - Vegas, Sira

AU - Lenarduzzi, Valentina

AU - Taibi, Davide

AU - Robredo, Mikel

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Cohort Study

KW - Empirical Software Engineering

KW - MSR

U2 - 10.1145/3643991.3649103

DO - 10.1145/3643991.3649103

M3 - Other conference contribution

AN - SCOPUS:85197453492

SP - 569

EP - 570

T2 - IEEE/ACM International conference on mining software repositories

Y2 - 15 April 2024 through 16 April 2024

ER -

Cohort Studies for Mining Software Repositories

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this