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20242026
most citedFrom Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics

1 citations · 1 across the 4 of their papers we have counts for

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5 papers

cs.SE2026

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,…

cs.SE2026

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…

cs.SE20251 cited

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…

cs.SE2024

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…

cs.SE2024

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…