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What factors influence the lifetime of pull requests?

https://doi.org/10.1002/spe.2946
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4842-0076-6openalex-snapshot
Pro Git
inferredcites →https://doi.org/10.1007/s11432-016-5595-8openalex-snapshot
Determinants of pull-based development in the context of continuous integration
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.infsof.2018.01.015openalex-snapshot
What factors influence the reviewer assignment to pull requests?
inferredcites →https://doi.org/10.1109/icmla.2015.41openalex-snapshot
Rejection Factors of Pull Requests Filed by Core Team Developers in Software Projects with High Acceptance Rates
inferredcites →https://doi.org/10.1109/icse.2015.55openalex-snapshot
Work Practices and Challenges in Pull-Based Development: The Integrator's Perspective
inferredcites →https://doi.org/10.1109/msr.2007.25openalex-snapshot
Predicting Eclipse Bug Lifetimes
inferredcites →https://doi.org/10.1109/msr.2012.6224294openalex-snapshot
GHTorrent: Github's data from a firehose
inferredcites →https://doi.org/10.1109/msr.2015.42openalex-snapshot
Wait for It: Determinants of Pull Request Evaluation Latency on GitHub
inferredcites →https://doi.org/10.1109/msr.2017.36openalex-snapshot
Built to Last or Built Too Fast? Evaluating Prediction Models for Build Times
inferredcites →https://doi.org/10.1145/1031607.1031621openalex-snapshot
Group awareness in distributed software development
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/1985441.1985472openalex-snapshot
Bug-fix time prediction models
inferredcites →https://doi.org/10.1145/2020390.2020401openalex-snapshot
Studying the fix-time for bugs in large open source projects
inferredcites →https://doi.org/10.1145/2568225.2568260openalex-snapshot
An exploratory study of the pull-based software development model
inferredcites →https://doi.org/10.1145/2568225.2568315openalex-snapshot
Influence of social and technical factors for evaluating contribution in GitHub
inferredcites →https://doi.org/10.1145/2635868.2635882openalex-snapshot
Let's talk about it: evaluating contributions through discussion in GitHub
inferredcites →https://doi.org/10.1145/2695664.2695856openalex-snapshot
Acceptance factors of pull requests in open-source projects
inferredcites →https://doi.org/10.1145/2695664.2695884openalex-snapshot
Developers assignment for analyzing pull requests
inferredcites →https://doi.org/10.1145/2901739.2901751openalex-snapshot
Using dynamic and contextual features to predict issue lifetime in GitHub projects

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Predicting Issue Resolution Time of OSS Using Multiple Features
inferred← citeshttps://doi.org/10.1002/spe.70104openalex-snapshot
An Empirical Study of Factors Associated With Contributor‐Abandoned Pull Requests in Open Source Software Projects
inferred← citeshttps://doi.org/10.1007/s10664-023-10412-wopenalex-snapshot
A metrics-based approach for selecting among various refactoring candidates
inferred← citeshttps://doi.org/10.1007/s10664-024-10526-9openalex-snapshot
A preliminary investigation on using multi-task learning to predict change performance in code reviews
inferred← citeshttps://doi.org/10.1108/jmp-05-2022-0217openalex-snapshot
True knowledge vs empowering knowledge: conceptualizing a theory of mindfulness and knowledge transfer (TMKT)
inferred← citeshttps://doi.org/10.1109/icsme55016.2022.00069openalex-snapshot
RepoQuester: A Tool Towards Evaluating GitHub Projects
inferred← citeshttps://doi.org/10.1109/msr59073.2023.00015openalex-snapshot
Understanding the Time to First Response in GitHub Pull Requests
inferred← citeshttps://doi.org/10.1109/saner56733.2023.00050openalex-snapshot
Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation
inferred← citeshttps://doi.org/10.1109/techdebt59074.2023.00018openalex-snapshot
Exploring the Effect of Various Maintenance Activities on the Accumulation of TD Principal
inferred← citeshttps://doi.org/10.1145/3524842.3528432openalex-snapshot
Mining code review data to understand waiting times between acceptance and merging
inferred← citeshttps://doi.org/10.1145/3524842.3528448openalex-snapshot
Do small code changes merge faster?
inferred← citeshttps://doi.org/10.1145/3559712.3559722openalex-snapshot
On the Nature of Duplicate Pull Requests: An Empirical Study Using Association Rules
inferred← citeshttps://doi.org/10.1145/3622748.3622753openalex-snapshot
What Factors Affect the Build Failures Correction Time? A Multi-Project Study
inferred← citeshttps://doi.org/10.1145/3793302.3793600openalex-snapshot
The Dose Makes the Agent: Therapeutic Index Analysis of AI Coding Contributions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3209115/v1openalex-snapshot
A Systematic Literature Review of Explainable Artificial Intelligence (XAI) in Software Engineering (SE)
inferred← citeshttps://doi.org/10.5753/semish.2025.6870openalex-snapshot
Avaliando a Importância do Arquivo contributing.md em Projetos de Código Aberto
inferred← citeshttps://doi.org/10.5753/vem.2022.226789openalex-snapshot
Exploring Pull Requests in Code Samples
inferred← citeshttps://doi.org/10.5753/wbots.2024.3826openalex-snapshot
The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests
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