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A three-stage transfer learning framework for multi-source cross-project software 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 improved transfer adaptive boosting approach for mixed‐project defect prediction
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Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning
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An investigation on the feasibility of cross-project defect prediction
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On the relative value of cross-company and within-company data for defect prediction
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Value-cognitive boosting with a support vector machine for cross-project defect prediction
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Studying just-in-time defect prediction using cross-project models
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Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction
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Cross-version defect prediction: use historical data, cross-project data, or both?
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The impact of automated feature selection techniques on the interpretation of defect models
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A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction
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A systematic review of machine learning techniques for software fault prediction
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MULTI: Multi-objective effort-aware just-in-time software defect prediction
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Cross project defect prediction using class distribution estimation and oversampling
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A two-phase transfer learning model for cross-project defect prediction
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COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction
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Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem
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Collective transfer learning for defect prediction
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Dominance statistics: Ordinal analyses to answer ordinal questions.
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Research on cross - Project software defect prediction based on transfer learning
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Multiple Comparisons Among Means
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Boosting for transfer learning with multiple sources
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An extensive comparison of bug prediction approaches
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Domain Adaptation via Transfer Component Analysis
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A Novel Class-Imbalance Learning Approach for Both Within-Project and Cross-Project Defect Prediction
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Assessing the applicability of fault-proneness models across object-oriented software projects
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Predicting the location and number of faults in large software systems
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Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"
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A Systematic Literature Review on Fault Prediction Performance in Software Engineering
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Data Quality: Some Comments on the NASA Software Defect Datasets
inferredcites →https://doi.org/10.1109/tse.2014.2322358openalex-snapshot
Researcher Bias: The Use of Machine Learning in Software Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2016.2597849openalex-snapshot
An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems
inferredcites →https://doi.org/10.1109/tse.2017.2724538openalex-snapshot
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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The Impact of Automated Parameter Optimization on Defect Prediction Models
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Bellwethers: A Baseline Method for Transfer Learning
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Deep Semantic Feature Learning for Software Defect Prediction
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How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction
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Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
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Selective Pseudo-Labeling Based Subspace Learning for Cross-Project Defect Prediction
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Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data
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Individual Comparisons by Ranking Methods
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Within-project and cross-project software defect prediction based on improved transfer Naive Bayes algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A novel defect prediction method based on semantic feature enhancement
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Leveraging Levy Flight and Greylag Goose Optimization for Enhanced Cross‐Project Defect Prediction in Software Evolution
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UFR‐OSFA: Unified Feature Representation and Oppositional Structure Feature Alignment for Mixed‐Project Heterogeneous Defect Prediction
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A novel instance‐based method for cross‐project just‐in‐time defect prediction
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CoCo-GAN: CodeBERT-driven collaborative generative adversarial learning for software defect prediction
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Cross-project Software Defect Prediction Using Divergence-based Domain Adaptation Approach
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Considering contextual semantics in domain-adversarial cross-project software defect prediction
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