7 citations · 10 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
Md Nadim, Mohammad Hassan, Ashis Kumar Mandal +3
Purpose: Quantum computing promises to transform problem-solving across various domains with rapid and practical solutions. Within Software Evolution and Maintenance, Quantum Machi…
Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
Ashis Kumar Mandal, Md Nadim, Chanchal K. Roy +2
Predicting software defects early in the development process not only enhances the quality and reliability of the software but also decreases the cost of development. A wide range…
Unveiling the potential of large language models in generating semantic and cross-language clones
Palash R. Roy, Ajmain I. Alam, Farouq Al-omari +3
Semantic and Cross-language code clone generation may be useful for code reuse, code comprehension, refactoring and benchmarking. OpenAI's GPT model has potential in such clone gen…