1 citations · 2 across the 13 of their papers we have counts for
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Plausible Is Not Enough: Trust and Evidence in AI-Authored Pull Request Review
Md Shamimur Rahman, Khairul Alam, Banani Roy +1
Code review is where AI-authored pull requests (AIPRs) must earn reviewer trust before integration, yet it is unclear whether reviewers apply the same criteria used for human-autho…
Who Pays the Review Cost? Triage, Fairness, and Accountability in AI-authored Pull Requests
Md Shamimur Rahman, Khairul Alam, Banani Roy +1
AI coding agents are moving from local code assistance into pull-based workflows, where generated contributions must be reviewed, explained, and maintained within existing project…
Understanding Maintenance and Support in a Community-Driven Scientific Workflow Ecosystem: A Cross-Space Study of Galaxy
Khairul Alam, Kowsik Roy, Md Shamimur Rahman +1
Galaxy is a widely used, community-driven scientific workflow system whose sustainability depends on continuous maintenance across its software, tools, workflows, infrastructure, d…
Understanding Developer Pain Points in Federated Learning: Insights from Stack Overflow and GitHub
Sahand Saed, Khairul Alam, Banani Roy
Federated Learning (FL) enables collaborative model training without centralizing raw data, but building and operating FL systems remains difficult due to distributed execution, ra…
Maintenance and Support in Community-Driven Scientific Pipeline Ecosystems: A Cross-Platform Empirical Study of nf-core
Khairul Alam, Kowsik Roy, Md Shamimur Rahman +1
Community-driven scientific pipeline ecosystems are increasingly important for reproducible data-intensive research, but their sustainability depends on more than workflow engines,…
Cuboids are canonically Ramsey
Benedict Randall Shaw
We say a set of points is canonically Ramsey if there is some set of points such that any colouring of , with any number of co…
Analyzing GitHub Issues and Pull Requests in nf-core Pipelines: Insights into nf-core Pipeline Repositories
Khairul Alam, Banani Roy
Scientific Workflow Systems (SWSs) such as Nextflow have become essential software frameworks for conducting reproducible, scalable, and portable computational analyses in data-int…
Why Are AI Agent Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study
Khairul Alam, Saikat Mondal, Banani Roy
Autonomous coding agents (e.g., OpenAI Codex, Devin, GitHub Copilot) are increasingly used to generate fix-related pull requests (PRs) in real world software repositories. However,…
What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub
Khairul Alam, Banani Roy
Scientific Workflow Systems (SWSs) play a vital role in enabling reproducible, scalable, and automated scientific analysis. Like other open-source software, these systems depend on…