1 citations · 1 across the 6 of their papers we have counts for
7 papers
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…
Are Classical Clone Detectors Good Enough For the AI Era?
Ajmain Inqiad Alam, Palash Roy, Farouq Al-omari +3
The increasing adoption of AI-generated code has reshaped modern software development, introducing syntactic and semantic variations in cloned code. Unlike traditional human-writte…
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…
From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions
Saumendu Roy, Saikat Mondal, Banani Roy +1
The lack of interpretability is a major barrier that limits the practical usage of AI models. Several eXplainable AI (XAI) techniques (e.g., SHAP, LIME) have been employed to inter…
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…