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20222025
most citedComparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study

7 citations · 10 across the 5 of their papers we have counts for

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cs.SE20252 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.SE20257 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.SE20241 cited

Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities

Md Nadim, Mohammad Hassan, Ashis Kumar Mandal +1

Software defect prediction is a critical aspect of software quality assurance, as it enables early identification and mitigation of defects, thereby reducing the cost and impact of…

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.SE2022

Leveraging Structural Properties of Source Code Graphs for Just-In-Time Bug Prediction

Md Nadim, Debajyoti Mondal, Chanchal K. Roy

The most common use of data visualization is to minimize the complexity for proper understanding. A graph is one of the most commonly used representations for understanding relatio…