activity
20192025
most citedAn Exploratory Study to Find Motives Behind Cross-platform Forks from Software Heritage Dataset

10 citations · 28 across the 12 of their papers we have counts for

collaborators

13 papers

cs.SE2025★ 2 cited

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…

cs.SE2025★ 7 cited

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…

cs.SE2024

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…

cs.SE2023★ 1 cited

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…

cs.SE2023

GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench

Ajmain Inqiad Alam, Palash Ranjan Roy, Farouq Al-omari +3

With the emergence of Machine Learning, there has been a surge in leveraging its capabilities for problem-solving across various domains. In the code clone realm, the identificatio…

cs.SE2022★ 6 cited

Utilizing Source Code Syntax Patterns to Detect Bug Inducing Commits using Machine Learning Models

Md Nadim, Banani Roy

Detecting Bug Inducing Commit (BIC) or Just in Time (JIT) defect prediction using Machine Learning (ML) based models requires tabulated feature values extracted from the source cod…