Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Nadim, Md, Hassan, Mohammad, Mandal, Ashis Kumar, Roy, Chanchal K. |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
par: Nadim, Md, et autres
Publié: (2025)
par: Nadim, Md, et autres
Publié: (2025)
Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
par: Mandal, Ashis Kumar, et autres
Publié: (2024)
par: Mandal, Ashis Kumar, et autres
Publié: (2024)
Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
par: Mandal, Ashis Kumar, et autres
Publié: (2025)
par: Mandal, Ashis Kumar, et autres
Publié: (2025)
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
par: Awal, Md. Abdul, et autres
Publié: (2025)
par: Awal, Md. Abdul, et autres
Publié: (2025)
Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates
par: Nadim, Md, et autres
Publié: (2022)
par: Nadim, Md, et autres
Publié: (2022)
Applications and Challenges of Fairness APIs in Machine Learning Software
par: Das, Ajoy, et autres
Publié: (2025)
par: Das, Ajoy, et autres
Publié: (2025)
Utilizing Source Code Syntax Patterns to Detect Bug Inducing Commits using Machine Learning Models
par: Nadim, Md, et autres
Publié: (2022)
par: Nadim, Md, et autres
Publié: (2022)
XMENTOR: A Rank-Aware Aggregation Approach for Human-Centered Explainable AI in Just-in-Time Software Defect Prediction
par: Roy, Saumendu, et autres
Publié: (2026)
par: Roy, Saumendu, et autres
Publié: (2026)
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
par: Alam, Ajmain Inqiad, et autres
Publié: (2026)
par: Alam, Ajmain Inqiad, et autres
Publié: (2026)
Investigating Adversarial Attacks in Software Analytics via Machine Learning Explainability
par: Awal, MD Abdul, et autres
Publié: (2024)
par: Awal, MD Abdul, et autres
Publié: (2024)
EvaluateXAI: A Framework to Evaluate the Reliability and Consistency of Rule-based XAI Techniques for Software Analytics Tasks
par: Awal, Md Abdul, et autres
Publié: (2024)
par: Awal, Md Abdul, et autres
Publié: (2024)
Bug Severity Prediction in Software Projects Using Supervised Machine Learning Models
par: Nice, Nafisha Tamanna
Publié: (2026)
par: Nice, Nafisha Tamanna
Publié: (2026)
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
par: Awais, Ch Muhammad, et autres
Publié: (2023)
par: Awais, Ch Muhammad, et autres
Publié: (2023)
Agile Story-Point Estimation: Is RAG a Better Way to Go?
par: Maha, Lamyea, et autres
Publié: (2026)
par: Maha, Lamyea, et autres
Publié: (2026)
Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code
par: Awal, Md. Abdul, et autres
Publié: (2025)
par: Awal, Md. Abdul, et autres
Publié: (2025)
Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet?
par: Awal, Md. Abdul, et autres
Publié: (2024)
par: Awal, Md. Abdul, et autres
Publié: (2024)
An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
par: Xu, Jinxin, et autres
Publié: (2024)
par: Xu, Jinxin, et autres
Publié: (2024)
A Machine Learning-Based Error Mitigation Approach For Reliable Software Development On IBM'S Quantum Computers
par: Muqeet, Asmar, et autres
Publié: (2024)
par: Muqeet, Asmar, et autres
Publié: (2024)
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
par: Steenhoek, Benjamin, et autres
Publié: (2024)
par: Steenhoek, Benjamin, et autres
Publié: (2024)
The Impact of Software Testing with Quantum Optimization Meets Machine Learning
par: Bandarupalli, Gopichand
Publié: (2025)
par: Bandarupalli, Gopichand
Publié: (2025)
On the Use of Deep Learning Models for Semantic Clone Detection
par: Pinku, Subroto Nag, et autres
Publié: (2024)
par: Pinku, Subroto Nag, et autres
Publié: (2024)
A Systematic Literature Review on the Use of Machine Learning in Software Engineering
par: Fred, Nyaga, et autres
Publié: (2024)
par: Fred, Nyaga, et autres
Publié: (2024)
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
par: Mukhtar, Adil, et autres
Publié: (2024)
par: Mukhtar, Adil, et autres
Publié: (2024)
Defect Prediction Using Stylistic Metrics
par: Yasir, Rafed Muhammad, et autres
Publié: (2022)
par: Yasir, Rafed Muhammad, et autres
Publié: (2022)
On the calibration of Just-in-time Defect Prediction
par: Shahini, Xhulja, et autres
Publié: (2025)
par: Shahini, Xhulja, et autres
Publié: (2025)
Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction
par: Zhou, Xin, et autres
Publié: (2024)
par: Zhou, Xin, et autres
Publié: (2024)
Fault Localization in Deep Learning-based Software: A System-level Approach
par: Morovati, Mohammad Mehdi, et autres
Publié: (2024)
par: Morovati, Mohammad Mehdi, et autres
Publié: (2024)
More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research
par: Wolter, Moritz, et autres
Publié: (2025)
par: Wolter, Moritz, et autres
Publié: (2025)
When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issues in Software Defect Prediction
par: Dapaah, Emmanuel Charleson, et autres
Publié: (2025)
par: Dapaah, Emmanuel Charleson, et autres
Publié: (2025)
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
par: Majumder, Suvodeep, et autres
Publié: (2022)
par: Majumder, Suvodeep, et autres
Publié: (2022)
Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education
par: Mojica-Hanke, Anamaria, et autres
Publié: (2024)
par: Mojica-Hanke, Anamaria, et autres
Publié: (2024)
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
par: Shivashankar, Karthik, et autres
Publié: (2025)
par: Shivashankar, Karthik, et autres
Publié: (2025)
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
par: Chen, Zhenpeng, et autres
Publié: (2024)
par: Chen, Zhenpeng, et autres
Publié: (2024)
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
par: Diggs, Colin, et autres
Publié: (2024)
par: Diggs, Colin, et autres
Publié: (2024)
The State of Open Science in Software Engineering Research: A Case Study of ICSE Artifacts
par: Muttakin, Al, et autres
Publié: (2026)
par: Muttakin, Al, et autres
Publié: (2026)
Quality Issues in Machine Learning Software Systems
par: Côté, Pierre-Olivier, et autres
Publié: (2023)
par: Côté, Pierre-Olivier, et autres
Publié: (2023)
An Audit of Machine Learning Experiments on Software Defect Prediction
par: Destefanis, Giuseppe, et autres
Publié: (2026)
par: Destefanis, Giuseppe, et autres
Publié: (2026)
A Feature-Driven Framework for Software Fault Prediction
par: Ghazi, Ahmad Nauman, et autres
Publié: (2026)
par: Ghazi, Ahmad Nauman, et autres
Publié: (2026)
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
par: Moussa, Rebecca, et autres
Publié: (2022)
par: Moussa, Rebecca, et autres
Publié: (2022)
Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction
par: Wang, Yuying, et autres
Publié: (2024)
par: Wang, Yuying, et autres
Publié: (2024)
Documents similaires
-
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
par: Nadim, Md, et autres
Publié: (2025) -
Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
par: Mandal, Ashis Kumar, et autres
Publié: (2024) -
Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
par: Mandal, Ashis Kumar, et autres
Publié: (2025) -
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
par: Awal, Md. Abdul, et autres
Publié: (2025) -
Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates
par: Nadim, Md, et autres
Publié: (2022)