The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests

Pull request(PR)-based workflows improves collaboration in software development; however, the influx of PRs in certain repositories is challenging. Bots, like Dependabot, automate PR creation but can cause communication noise, indicating the need for smarter tools. We investigated 197, 736 PRs from 90 open-source projects using regression algorithms to predict PR lifetimes. Results showed that in 21 repositories, Dependabot PRs were reviewed faster, whereas in 47 repositories, human PRs were quicker. The RMSE difference was notable, with 18, 338 minutes for human PRs and 5, 585 minutes for Dependabot PRs. Key attributes for prediction were similar across scenarios, although the number of commits was very important only for Dependabot PRs.

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Published
2024-09-30
DOI
https://doi.org/10.5753/wbots.2024.3826
Primary Topic
Software Engineering Research
Type
article
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article

The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests

Mairieli Wessel, Manoel Limeira de Lima Júnior, Leandro Ferrarezi Valiante
Software Engineering Research
article

The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests

Mairieli Wessel, Manoel Limeira de Lima Júnior, Leandro Ferrarezi Valiante
article en

Abstract

Pull request(PR)-based workflows improves collaboration in software development; however, the influx of PRs in certain repositories is challenging. Bots, like Dependabot, automate PR creation but can cause communication noise, indicating the need for smarter tools. We investigated 197, 736 PRs from 90 open-source projects using regression algorithms to predict PR lifetimes. Results showed that in 21 repositories, Dependabot PRs were reviewed faster, whereas in 47 repositories, human PRs were quicker. The RMSE difference was notable, with 18, 338 minutes for human PRs and 5, 585 minutes for Dependabot PRs. Key attributes for prediction were similar across scenarios, although the number of commits was very important only for Dependabot PRs.

Radboud University Nijmegen (NL)
Openalex Percentile: Top 71%
Software Engineering Research
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The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests — Mairieli Wessel, Manoel Limeira de Lima Júnior, et al. · (2024) | TGRS Research Map | TGRS