Cohort Studies for Mining Software Repositories
Authors: 
Mikel Robredo, Nyyti Saarimaki, 
Valentina Lenarduzzi, Sira Vegas, 
Davide TaibiAuthors Info & Claims
Pages 569 - 570
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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ESEM '20: Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)Background. Most Mining Software Repositories (MSR) studies cannot obtain causal relations because they are not controlled experiments. The use of cohort studies as defined in epidemiology could help to overcome this shortcoming.
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Information
Published In
April 2024
788 pages
ISBN:9798400705878
DOI:10.1145/3643991
- Chair:
- Diomidis Spinellis,
- Program Chair:
- Alberto Bacchelli,
- Program Co-chair:
- Eleni Constantinou
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 July 2024
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- Short-paper
Conference
MSR '24
Sponsor:
MSR '24: 21st International Conference on Mining Software Repositories
April 15 - 16, 2024
Lisbon, Portugal
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