Cascade Generalization-based Classifiers for Software Defect Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Bashir, Aminat, Balogun, Abdullateef, Adigun, Matthew, Ajagbe, Sunday, Capretz, Luiz Fernando, Awotunde, Joseph, Mojeed, Hammed |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Feature Importance in the Context of Traditional and Just-In-Time Software Defect Prediction Models
by: Haldar, Susmita, et al.
Published: (2024)
by: Haldar, Susmita, et al.
Published: (2024)
Establishing Software Engineering Design Competence with Soft Skills
by: Capretz, Luiz Fernando
Published: (2024)
by: Capretz, Luiz Fernando
Published: (2024)
Factors Influencing Performance of Students in Software Automated Test Tools Course
by: Haldar, Susmita, et al.
Published: (2024)
by: Haldar, Susmita, et al.
Published: (2024)
WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities
by: Haldar, Susmita, et al.
Published: (2025)
by: Haldar, Susmita, et al.
Published: (2025)
The Impact of Defect (Re) Prediction on Software Testing
by: Murakami, Yukasa, et al.
Published: (2024)
by: Murakami, Yukasa, et al.
Published: (2024)
Mapping the Invisible: A Framework for Tracking COVID-19 Spread Among College Students with Google Location Data
by: Krishnan, Prajindra Sankar, et al.
Published: (2024)
by: Krishnan, Prajindra Sankar, et al.
Published: (2024)
An Audit of Machine Learning Experiments on Software Defect Prediction
by: Destefanis, Giuseppe, et al.
Published: (2026)
by: Destefanis, Giuseppe, et al.
Published: (2026)
Critical Considerations on Effort-aware Software Defect Prediction Metrics
by: Lavazza, Luigi, et al.
Published: (2025)
by: Lavazza, Luigi, et al.
Published: (2025)
Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios
by: Rakha, Mohamed Sami, et al.
Published: (2025)
by: Rakha, Mohamed Sami, et al.
Published: (2025)
Cascaded Vulnerability Attacks in Software Supply Chains
by: Baird, Laura, et al.
Published: (2026)
by: Baird, Laura, et al.
Published: (2026)
BioDefect: The First Dataset for Defect Detection in Bioinformatics Software
by: Xu, Tianxiang, et al.
Published: (2026)
by: Xu, Tianxiang, et al.
Published: (2026)
A Hybrid Sampling and Multi-Objective Optimization Approach for Enhanced Software Defect Prediction
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
Software Defect Prediction using Autoencoder Transformer Model
by: Barma, Seshu, et al.
Published: (2025)
by: Barma, Seshu, et al.
Published: (2025)
SDPERL: A Framework for Software Defect Prediction Using Ensemble Feature Extraction and Reinforcement Learning
by: Hesamolhokama, Mohsen, et al.
Published: (2024)
by: Hesamolhokama, Mohsen, et al.
Published: (2024)
IRJIT: A Simple, Online, Information Retrieval Approach for Just-In-Time Software Defect Prediction
by: Sahar, Hareem, et al.
Published: (2022)
by: Sahar, Hareem, et al.
Published: (2022)
Evaluating Software Defect Prediction Models via the Area Under the ROC Curve Can Be Misleading
by: Lavazza, Luigi, et al.
Published: (2026)
by: Lavazza, Luigi, et al.
Published: (2026)
From Illusion to Insight: Change-Aware File-Level Software Defect Prediction Using Agentic AI
by: Hesamolhokama, Mohsen, et al.
Published: (2025)
by: Hesamolhokama, Mohsen, et al.
Published: (2025)
Improving Demand‐Side Energy Management With Energy Advisor Using Machine Learning
by: Natasha Nigar, et al.
Published: (2024)
by: Natasha Nigar, et al.
Published: (2024)
Three-Stage Adjusted Regression Forecasting (TSARF) for Software Defect Prediction
by: Pritchard, Shadow, et al.
Published: (2024)
by: Pritchard, Shadow, et al.
Published: (2024)
XMENTOR: A Rank-Aware Aggregation Approach for Human-Centered Explainable AI in Just-in-Time Software Defect Prediction
by: Roy, Saumendu, et al.
Published: (2026)
by: Roy, Saumendu, et al.
Published: (2026)
Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems
by: Mohammad, Faisal, et al.
Published: (2025)
by: Mohammad, Faisal, et al.
Published: (2025)
Implementing Effective Changes in Software Projects to Optimize Runtimes and Minimize Defects
by: Gupta, Kartik
Published: (2025)
by: Gupta, Kartik
Published: (2025)
From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets
by: Zhu, Hao-Nan, et al.
Published: (2025)
by: Zhu, Hao-Nan, et al.
Published: (2025)
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
by: Nadim, Md, et al.
Published: (2025)
by: Nadim, Md, et al.
Published: (2025)
Building Defect Prediction Models by Online Learning Considering Defect Overlooking
by: Fedorov, Nikolay, et al.
Published: (2024)
by: Fedorov, Nikolay, et al.
Published: (2024)
Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
by: Nadim, Md, et al.
Published: (2024)
by: Nadim, Md, et al.
Published: (2024)
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, et al.
Published: (2024)
by: Jiang, Yuze, et al.
Published: (2024)
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
by: Awais, Ch Muhammad, et al.
Published: (2023)
by: Awais, Ch Muhammad, et al.
Published: (2023)
A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification
by: Sultan, Md. Fahim, et al.
Published: (2024)
by: Sultan, Md. Fahim, et al.
Published: (2024)
Managing Human-Centric Software Defects: Insights from GitHub and Practitioners' Perspectives
by: Chauhan, Vedant, et al.
Published: (2024)
by: Chauhan, Vedant, et al.
Published: (2024)
From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption
by: Nguyen, Thanh, et al.
Published: (2024)
by: Nguyen, Thanh, et al.
Published: (2024)
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks
by: Qiao, Yu, et al.
Published: (2024)
by: Qiao, Yu, et al.
Published: (2024)
Agent-Driven Automatic Software Improvement
by: Ruiz, Fernando Vallecillos
Published: (2024)
by: Ruiz, Fernando Vallecillos
Published: (2024)
Investigating Software Aging in LLM-Generated Software Systems
by: Santos, César, et al.
Published: (2025)
by: Santos, César, et al.
Published: (2025)
Generative Software Engineering
by: Huang, Yuan, et al.
Published: (2024)
by: Huang, Yuan, et al.
Published: (2024)
When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems
by: Li, Shuqing, et al.
Published: (2025)
by: Li, Shuqing, et al.
Published: (2025)
Prediction of Minimum Horizontal Stress Using Machine Learning for Unconventional Reservoir Applications
by: Ebenezer Leke Odekanle, et al.
Published: (2026)
by: Ebenezer Leke Odekanle, et al.
Published: (2026)
Predicting Expert Evaluations in Software Code Reviews
by: Denisov-Blanch, Yegor, et al.
Published: (2024)
by: Denisov-Blanch, Yegor, et al.
Published: (2024)
Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
by: Mandal, Ashis Kumar, et al.
Published: (2024)
by: Mandal, Ashis Kumar, et al.
Published: (2024)
Defect Category Prediction Based on Multi-Source Domain Adaptation
by: Xing, Ying, et al.
Published: (2024)
by: Xing, Ying, et al.
Published: (2024)
Similar Items
-
Feature Importance in the Context of Traditional and Just-In-Time Software Defect Prediction Models
by: Haldar, Susmita, et al.
Published: (2024) -
Establishing Software Engineering Design Competence with Soft Skills
by: Capretz, Luiz Fernando
Published: (2024) -
Factors Influencing Performance of Students in Software Automated Test Tools Course
by: Haldar, Susmita, et al.
Published: (2024) -
WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities
by: Haldar, Susmita, et al.
Published: (2025) -
The Impact of Defect (Re) Prediction on Software Testing
by: Murakami, Yukasa, et al.
Published: (2024)