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A two-phase transfer learning model for cross-project defect prediction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An investigation on the feasibility of cross-project defect prediction
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Predicting fault-prone software modules in telephone switches
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Improvements to the SMO algorithm for SVM regression
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Reducing Features to Improve Bug Prediction
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Personalized defect prediction
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Cross-project defect prediction models: L'Union fait la force
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Towards logistic regression models for predicting fault-prone code across software projects
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How to Make Best Use of Cross-Company Data for Web Effort Estimation?
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Predicting faults using the complexity of code changes
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Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
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An extensive comparison of bug prediction approaches
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Better cross company defect prediction
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Domain Adaptation via Transfer Component Analysis
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Predicting the location and number of faults in large software systems
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Data Mining Static Code Attributes to Learn Defect Predictors
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A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches
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A Systematic Literature Review and Meta-Analysis on Cross Project Defect Prediction
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Towards identifying software project clusters with regard to defect prediction
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Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
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Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
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Proceedings of the 9th International Conference on Predictive Models in Software Engineering
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Training data selection for cross-project defect prediction
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Individual Comparisons by Ranking Methods
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Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
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Transfer Learning based Low Shot Classifier for Software Defect Prediction
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Software defect prediction based on counterfactual explanations
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Dynamic Distribution Adaptation in Transfer Learning for Cross-Project Just-in-Time Defect Prediction: A Synergistic Approach Incorporating Kernel Variance Matching, Correlation Alignment, and Categorical Boosting
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Bug Detection and Report: A Case Study on Dataset for Software Management using Security Bug Report
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Unsupervised Domain Adaptation Based on Discriminative Subspace Learning for Cross-Project Defect Prediction
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Graph-Based Feature Learning for Cross-Project Software Defect Prediction
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Cross-Project Software Defect Prediction Based on SMOTE and Deep Canonical Correlation Analysis
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Cross-Project Defect Prediction Based on Domain Adaptation and LSTM Optimization
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Cross-Project Software Defect Prediction Using Differential Perception Combined with Inheritance Federated Learning
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An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction
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Enhancing Cross-Project Defect Prediction via Transfer Component Analysis and Hybrid Ensembles
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A Hybrid Metaheuristic Aware Enhanced Deep Learning Approach for Software Effort Estimation
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Revisiting Heterogeneous Defect Prediction: How Far Are We?
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Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering
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complexFuzzy: A novel clustering method for selecting training instances of cross-project defect prediction
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