1 citations · 2 across the 10 of their papers we have counts for
12 papers
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,…
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…
From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
Khairul Alam, Banani Roy
Scientific Workflow Systems such as Galaxy and Nextflow are essential for scalable, reproducible, and automated bioinformatics analyses. However, developing and understanding scien…
Developer Challenges on Large Language Models: A Study of Stack Overflow and OpenAI Developer Forum Posts
Khairul Alam, Kartik Mittal, Banani Roy +1
Large Language Models (LLMs) have gained widespread popularity due to their exceptional capabilities across various domains, including chatbots, healthcare, education, content gene…
An Empirical Investigation on the Challenges in Scientific Workflow Systems Development
Khairul Alam, Banani Roy, Chanchal K. Roy +1
Scientific Workflow Systems (SWSs) are advanced software frameworks that drive modern research by orchestrating complex computational tasks and managing extensive data pipelines. T…
Reusability Challenges of Scientific Workflows: A Case Study for Galaxy
Khairul Alam, Banani Roy, Alexander Serebrenik
Scientific workflow has become essential in software engineering because it provides a structured approach to designing, executing, and analyzing scientific experiments. Software d…