2 citations · 3 across the 9 of their papers we have counts for
11 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…
A Unified Model for Cross-Domain Clone Detection via Model Merging
Palash R. Roy, Banani Roy, Kevin A. Schneider +1
The growing diversity of code clone types, from syntactic copies to cross-language semantic clones to AI-generated duplicates, has created a fragmentation crisis in clone detection…
MergeSE: Post-Hoc Model Merging for Software Engineering Tasks Without Retraining
Palash R. Roy, Banani Roy, Kevin A. Schneider +1
Fine-tuned code models often behave as domain specialists and can degrade sharply under distribution shift: in our clone-detection setting, a model trained on same-language clones…
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
Ajmain Inqiad Alam, Palash Roy, Chanchal K. Roy +2
The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models dem…
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…
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 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…
Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
Ashis Kumar Mandal, Md Nadim, Chanchal K. Roy +2
Research in software engineering is essential for improving development practices, leading to reliable and secure software. Leveraging the principles of quantum physics, quantum co…
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…