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Who should comment on this pull request? Analyzing attributes for more accurate commenter recommendation in pull-based development
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.530openalex-snapshot
Assigning change requests to software developers
inferredcites →https://doi.org/10.1007/0-387-34226-5_28openalex-snapshot
Contributor Turnover in Libre Software Projects
inferredcites →https://doi.org/10.1007/s11390-015-1577-3openalex-snapshot
CoreDevRec: Automatic Core Member Recommendation for Contribution Evaluation
inferredcites →https://doi.org/10.1007/s11432-013-4800-2openalex-snapshot
Source localization and calibration using TDOA and FDOA measurements in the presence of sensor location uncertainty
inferredcites →https://doi.org/10.1007/s11432-014-5221-6openalex-snapshot
Developer social networks in software engineering: construction, analysis, and applications
inferredcites →https://doi.org/10.1016/j.infsof.2016.01.004openalex-snapshot
Reviewer recommendation for pull-requests in GitHub: What can we learn from code review and bug assignment?
inferredcites →https://doi.org/10.1016/j.jalgor.2005.01.006openalex-snapshot
Maintaining time-decaying stream aggregates
inferredcites →https://doi.org/10.1023/a:1007612920971openalex-snapshot
Concept Decompositions for Large Sparse Text Data Using Clustering
inferredcites →https://doi.org/10.1109/apsec.2011.15openalex-snapshot
DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking
inferredcites →https://doi.org/10.1109/apsec.2013.103openalex-snapshot
Patch Reviewer Recommendation in OSS Projects
inferredcites →https://doi.org/10.1109/apsec.2014.57openalex-snapshot
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration
inferredcites →https://doi.org/10.1109/apsec.2014.88openalex-snapshot
What Community Contribution Pattern Says about Stability of Software Project?
inferredcites →https://doi.org/10.1109/apsec.2015.12openalex-snapshot
Role Distribution and Transformation in Open Source Software Project Teams
inferredcites →https://doi.org/10.1109/icsm.2012.6405306openalex-snapshot
Triaging incoming change requests: Bug or commit history, or code authorship?
inferredcites →https://doi.org/10.1109/icsm.2015.7332472openalex-snapshot
Who should review this change?: Putting text and file location analyses together for more accurate recommendations
inferredcites →https://doi.org/10.1109/icsme.2014.107openalex-snapshot
Reviewer Recommender of Pull-Requests in GitHub
inferredcites →https://doi.org/10.1109/issre.2014.17openalex-snapshot
Effective Bug Triage Based on Historical Bug-Fix Information
inferredcites →https://doi.org/10.1109/iwesep.2014.11openalex-snapshot
Assessing MCR Discussion Usefulness Using Semantic Similarity
inferredcites →https://doi.org/10.1109/msr.2007.23openalex-snapshot
Open Borders? Immigration in Open Source Projects
inferredcites →https://doi.org/10.1109/msr.2009.5069491openalex-snapshot
Assigning bug reports using a vocabulary-based expertise model of developers
inferredcites →https://doi.org/10.1109/saner.2015.7081824openalex-snapshot
Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review
inferredcites →https://doi.org/10.1109/tse.2011.9openalex-snapshot
Schedule of Bad Smell Detection and Resolution: A New Way to Save Effort
inferredcites →https://doi.org/10.1109/wcre.2013.6671282openalex-snapshot
Accurate developer recommendation for bug resolution
inferredcites →https://doi.org/10.1109/wcre.2013.6671287openalex-snapshot
The influence of non-technical factors on code review
inferredcites →https://doi.org/10.1109/wcre.2013.6671288openalex-snapshot
Understanding project dissemination on a social coding site
inferredcites →https://doi.org/10.1136/bmj.e4407openalex-snapshot
Effectiveness of enhanced communication therapy in the first four months after stroke for aphasia and dysarthria: a randomised controlled trial
inferredcites →https://doi.org/10.1145/1368088.1368162openalex-snapshot
Open source software peer review practices
inferredcites →https://doi.org/10.1145/1453101.1453107openalex-snapshot
Latent social structure in open source projects
inferredcites →https://doi.org/10.1145/1595696.1595715openalex-snapshot
Improving bug triage with bug tossing graphs
inferredcites →https://doi.org/10.1145/1595808.1595813openalex-snapshot
The role of patch review in software evolution
inferredcites →https://doi.org/10.1145/1985793.1985867openalex-snapshot
Understanding broadcast based peer review on open source software projects
inferredcites →https://doi.org/10.1145/2414721.2414726openalex-snapshot
Peer code review in open source communitiesusing reviewboard
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/10.1145/2597008.2597147openalex-snapshot
Amalgamating source code authors, maintainers, and change proneness to triage change requests
inferredcites →https://doi.org/10.1145/2597073.2597074openalex-snapshot
The promises and perils of mining GitHub
inferredcites →https://doi.org/10.1145/2635868.2635914openalex-snapshot
Focus-shifting patterns of OSS developers and their congruence with call graphs
inferredcites →https://doi.org/10.1145/2695664.2695884openalex-snapshot
Developers assignment for analyzing pull requests
inferredcites →https://doi.org/10.1145/2786805.2786850openalex-snapshot
Quality and productivity outcomes relating to continuous integration in GitHub
inferredcites →https://doi.org/10.1145/2786805.2786870openalex-snapshot
Impact of developer turnover on quality in open-source software
inferredcites →https://doi.org/10.1145/2884781.2884826openalex-snapshot
Work practices and challenges in pull-based development
inferredcites →https://doi.org/10.5555/2486788.2486915openalex-snapshot
Reducing human effort and improving quality in peer code reviews using automatic static analysis and reviewer recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2655openalex-snapshot
Balanced knowledge distribution among software development teams—Observations from open‐ and closed‐source software development
inferred← citeshttps://doi.org/10.1007/978-3-031-36597-3_8openalex-snapshot
Pull Requests Integration Process Optimization: An Empirical Study
inferred← citeshttps://doi.org/10.1007/978-3-031-66594-3_6openalex-snapshot
Assessing Code Review Quality with ChatGPT: A Survey of Automated Reviewer Assignment Methods and Experimental Outcomes
inferred← citeshttps://doi.org/10.1007/978-981-15-0310-8_7openalex-snapshot
An Empirical Study of Link Sharing in Review Comments
inferred← citeshttps://doi.org/10.1007/978-981-95-7141-3_29openalex-snapshot
DCKG: A Dual-View Collaborative Knowledge Graph for Pull Request Recommendation
inferred← citeshttps://doi.org/10.1007/s00500-020-05559-3openalex-snapshot
Recommending pull request reviewers based on code changes
inferred← citeshttps://doi.org/10.1007/s10515-024-00416-1openalex-snapshot
ReBack: recommending backports in social coding environments
inferred← citeshttps://doi.org/10.1007/s10664-021-10058-6openalex-snapshot
GitHub Discussions: An exploratory study of early adoption
inferred← citeshttps://doi.org/10.1007/s10664-022-10143-4openalex-snapshot
Pull request latency explained: an empirical overview
inferred← citeshttps://doi.org/10.1007/s10664-022-10191-wopenalex-snapshot
Towards cost-benefit evaluation for continuous software engineering activities
inferred← citeshttps://doi.org/10.1007/s10664-023-10421-9openalex-snapshot
Using knowledge units of programming languages to recommend reviewers for pull requests: an empirical study
inferred← citeshttps://doi.org/10.1007/s11192-020-03542-1openalex-snapshot
A document-structure-based complex network model for extracting text keywords
inferred← citeshttps://doi.org/10.1007/s11432-019-9891-5openalex-snapshot
HAF: a hybrid annotation framework based on expert knowledge and learning technique
inferred← citeshttps://doi.org/10.1007/s11432-022-3953-4openalex-snapshot
E-PRedictor: an approach for early prediction of pull request acceptance
inferred← citeshttps://doi.org/10.1007/s11432-023-4127-5openalex-snapshot
Deep learning-based software engineering: progress, challenges, and opportunities
inferred← citeshttps://doi.org/10.1007/s11771-019-4185-5openalex-snapshot
Why do they ask? An exploratory study of crowd discussions about Android application programming interface in stack overflow
inferred← citeshttps://doi.org/10.1007/s11771-020-4308-zopenalex-snapshot
CTCPPre: A prediction method for accepted pull requests in GitHub
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112609openalex-snapshot
A time-aware developer recommendation approach based on multi-feature fusion
inferred← citeshttps://doi.org/10.1016/j.future.2018.04.059openalex-snapshot
Research on detection methods based on Doc2vec abnormal comments
inferred← citeshttps://doi.org/10.1016/j.infsof.2018.04.003openalex-snapshot
Learning from the past: A process recommendation system for video game projects using postmortems experiences
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106394openalex-snapshot
Recommending tags for pull requests in GitHub
inferred← citeshttps://doi.org/10.1016/j.infsof.2022.106961openalex-snapshot
Find potential partners: A GitHub user recommendation method based on event data
inferred← citeshttps://doi.org/10.1016/j.jss.2018.05.065openalex-snapshot
Automatic assignment of integrators to pull requests: The importance of selecting appropriate attributes
inferred← citeshttps://doi.org/10.1016/j.jss.2019.04.055openalex-snapshot
Who should make decision on this pull request? Analyzing time-decaying relationships and file similarities for integrator prediction
inferred← citeshttps://doi.org/10.1016/j.jss.2021.110951openalex-snapshot
A systematic literature review and taxonomy of modern code review
inferred← citeshttps://doi.org/10.1016/j.jss.2021.111009openalex-snapshot
Can we benchmark Code Review studies? A systematic mapping study of methodology, dataset, and metric
inferred← citeshttps://doi.org/10.1016/j.scico.2021.102652openalex-snapshot
A review of code reviewer recommendation studies: Challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.techfore.2025.124328openalex-snapshot
Toward open-source foundation model ecosystem: Impact evaluation framework and promotion mechanism
inferred← citeshttps://doi.org/10.1109/access.2019.2925560openalex-snapshot
Learning to Rank Reviewers for Pull Requests
inferred← citeshttps://doi.org/10.1109/access.2023.3292056openalex-snapshot
Helping Pull Request Reviewer Recommendation Systems to Focus
inferred← citeshttps://doi.org/10.1109/apsec.2018.00052openalex-snapshot
Predicting Which Pull Requests Will Get Reopened in GitHub
inferred← citeshttps://doi.org/10.1109/ase.2019.00026openalex-snapshot
Automatic Generation of Pull Request Descriptions
inferred← citeshttps://doi.org/10.1109/clei64178.2024.10700277openalex-snapshot
IPOptimizer: A Tool to Optimize the Pull Request Integration Process
inferred← citeshttps://doi.org/10.1109/esem.2019.8870190openalex-snapshot
Investigating the Validity of Ground Truth in Code Reviewer Recommendation Studies
inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00067openalex-snapshot
Building Bridges, Not Walls: Fairness-Aware and Accurate Recommendation of Code Reviewers via LLm-Based Agents Collaboration
inferred← citeshttps://doi.org/10.1109/icse-companion58688.2023.00053openalex-snapshot
Automating Code Review
inferred← citeshttps://doi.org/10.1109/icse-seip55303.2022.9794124openalex-snapshot
Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction*
inferred← citeshttps://doi.org/10.1109/icse-seip58684.2023.00020openalex-snapshot
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft
inferred← citeshttps://doi.org/10.1109/icsme58846.2023.00037openalex-snapshot
Integrating Visual Aids to Enhance the Code Reviewer Selection Process
inferred← citeshttps://doi.org/10.1109/issre.2019.00016openalex-snapshot
How to Explain a Patch: An Empirical Study of Patch Explanations in Open Source Projects
inferred← citeshttps://doi.org/10.1109/qrs51102.2020.00041openalex-snapshot
Pull Request Prioritization Algorithm based on Acceptance and Response Probability
inferred← citeshttps://doi.org/10.1109/qrs51102.2020.00069openalex-snapshot
Is There A "Golden" Rule for Code Reviewer Recommendation? : —An Experimental Evaluation
inferred← citeshttps://doi.org/10.1109/qrs57517.2022.00043openalex-snapshot
A Collaboration-Aware Approach to Profiling Developer Expertise with Cross-Community Data
inferred← citeshttps://doi.org/10.1109/saner60148.2024.00049openalex-snapshot
Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships
inferred← citeshttps://doi.org/10.1109/seaa53835.2021.00022openalex-snapshot
NLP4IP: Natural Language Processing-based Recommendation Approach for Issues Prioritization
inferred← citeshttps://doi.org/10.1109/seaa60479.2023.00064openalex-snapshot
Pull Requests Acceptance: A Study Across Programming Languages
inferred← citeshttps://doi.org/10.1109/softwaremining.2017.8100850openalex-snapshot
A hybrid approach to code reviewer recommendation with collaborative filtering
inferred← citeshttps://doi.org/10.1109/tr.2021.3093159openalex-snapshot
How Developers Modify Pull Requests in Code Review
inferred← citeshttps://doi.org/10.1109/tse.2019.2917191openalex-snapshot
Recommending Participants for Collaborative Merge Sessions
inferred← citeshttps://doi.org/10.1109/tse.2021.3128356openalex-snapshot
Pull Request Governance in Open Source Communities
inferred← citeshttps://doi.org/10.1109/tse.2022.3165056openalex-snapshot
Pull Request Decisions Explained: An Empirical Overview
inferred← citeshttps://doi.org/10.1109/tse.2023.3348172openalex-snapshot
Code Review Automation: Strengths and Weaknesses of the State of the Art
inferred← citeshttps://doi.org/10.1109/tse.2024.3356819openalex-snapshot
Distilling Quality Enhancing Comments From Code Reviews to Underpin Reviewer Recommendation
inferred← citeshttps://doi.org/10.1109/tse.2024.3422369openalex-snapshot
Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations
inferred← citeshttps://doi.org/10.1142/s0218194021500467openalex-snapshot
Understanding the Working Habits of GH-SO Users on GitHub Commit Activity and Stack Overflow Post Activity
inferred← citeshttps://doi.org/10.1145/3319008.3319354openalex-snapshot
Modern code reviews - Preliminary results of a systematic mapping study
inferred← citeshttps://doi.org/10.1145/3377813.3381365openalex-snapshot
Using a context-aware approach to recommend code reviewers
inferred← citeshttps://doi.org/10.1145/3379177.3388904openalex-snapshot
Action-based Recommendation in Pull-request Development
inferred← citeshttps://doi.org/10.1145/3382494.3410685openalex-snapshot
Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem
inferred← citeshttps://doi.org/10.1145/3383219.3383242openalex-snapshot
How Do FOSS Communities Decide to Accept Pull Requests?
inferred← citeshttps://doi.org/10.1145/3510003.3510213openalex-snapshot
Modeling review history for reviewer recommendation
inferred← citeshttps://doi.org/10.1145/3510457.3513035openalex-snapshot
Code reviewer recommendation in tencent
inferred← citeshttps://doi.org/10.1145/3585004openalex-snapshot
Modern Code Reviews—Survey of Literature and Practice
inferred← citeshttps://doi.org/10.1145/3691620.3695291openalex-snapshot
Unity Is Strength: Collaborative LLM-Based Agents for Code Reviewer Recommendation
inferred← citeshttps://doi.org/10.1145/3736405openalex-snapshot
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders
inferred← citeshttps://doi.org/10.1145/3800963openalex-snapshot
A Roadmap for Modern Code Review: Challenges and Opportunities
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0110160openalex-snapshot
Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste
inferred← citeshttps://doi.org/10.21655/ijsi.1673-7288.00253openalex-snapshot
Automatic Generation of Large-Granularity Pull Request Description
inferred← citeshttps://doi.org/10.26226/morressier.613b5419842293c031b5b639openalex-snapshot
A systematic literature review and taxonomy of modern code review
inferred← citeshttps://doi.org/10.3390/app10124333openalex-snapshot
SoftRec: Multi-Relationship Fused Software Developer Recommendation
inferred← citeshttps://doi.org/10.3390/info13020073openalex-snapshot
Automatic Identification of Similar Pull-Requests in GitHub’s Repositories Using Machine Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2003.01153openalex-snapshot
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages
inferred← citeshttps://doi.org/10.48550/arxiv.2105.13970openalex-snapshot
Pull Request Decision Explained: An Empirical Overview
inferred← citeshttps://doi.org/10.5220/0010992100003176openalex-snapshot
Improving Integration Process Efficiency through Pull Request Prioritization
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