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GHARuns: A Large Dataset of GitHub Actions Workflow Execution Metadata
Talebzadeh Bardsiri, Aref; Mens, Tom; Decan, Alexandre
2026 • In Proc. 42nd International Conference on Software Maintenance and Evolution
Peer reviewed
 

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Keywords :
CI/CD automation; GitHub Actions; execution traces; workflow runs
Abstract :
[en] GitHub Actions is the integrated CI/CD workflow automation service of GitHub, the most popular collaborative software development platform. While the evolution of workflow configuration files has been actively studied, there are considerably less large-scale empirical studies involving execution and runtime behaviour of those workflows. This is due to the data retention policy imposed by GitHub and the resulting lack of longitudinal data involving large numbers of repositories. We propose GHARuns, an evolving dataset and associated extraction tool to enable such large-scale studies. Version 2026-07-08 of the dataset contains the metadata of 71.7M+ workflow runs for 197K+ GitHub Actions workflows across 45K+ active public GitHub repositories over a period of 146 days, well exceeding GitHub’s retention period. It also contains the metadata for for 122.7M+ job runs and 1362.3M+ step runs for a subset of 29.4M+ workflow runs.
Disciplines :
Computer science
Author, co-author :
Talebzadeh Bardsiri, Aref ;  Université de Mons - UMONS > Faculté des Sciences > Service de Génie Logiciel
Mens, Tom  ;  Université de Mons - UMONS > Faculté des Sciences > Service de Génie Logiciel
Decan, Alexandre  ;  Université de Mons - UMONS > Faculté des Sciences > Service de Génie Logiciel
Language :
English
Title :
GHARuns: A Large Dataset of GitHub Actions Workflow Execution Metadata
Publication date :
14 September 2026
Event name :
42nd International Conference on Software Maintenance and Evolution
Event organizer :
IEEE
Event place :
Benevento, Italy
Event date :
14-18 September 2026
Audience :
International
Main work title :
Proc. 42nd International Conference on Software Maintenance and Evolution
Publisher :
Institute of Electrical and Electronics Engineers (IEEE)
Peer review/Selection committee :
Peer reviewed
Research unit :
S852 - Génie Logiciel
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Funding number :
J.0147.24; F.4515.23
Funding text :
This work is supported by F.R.S.-FNRS under grant num- bers J.0147.24 and F.4515.23.
Commentary :
(c) 2026 IEEE International Conference on Software Maintenance and Evolution (ICSME)
Available on ORBi UMONS :
since 01 July 2026

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