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ST-TLF: Cross-version defect prediction framework based transfer learning

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-211-89836-9_1025openalex-snapshot
Pearson correlation coefficient
inferredcites →https://doi.org/10.1007/978-3-319-31307-8openalex-snapshot
New Advances in Information Systems and Technologies
inferredcites →https://doi.org/10.1007/978-3-642-20180-6_8openalex-snapshot
Elements of Information Theory
inferredcites →https://doi.org/10.1007/s00500-016-2456-8openalex-snapshot
Multi-objective cross-version defect prediction
inferredcites →https://doi.org/10.1007/s10664-008-9103-7openalex-snapshot
On the relative value of cross-company and within-company data for defect prediction
inferredcites →https://doi.org/10.1007/s10664-009-9111-2openalex-snapshot
Comparing the effectiveness of several modeling methods for fault prediction
inferredcites →https://doi.org/10.1007/s10664-011-9182-8openalex-snapshot
On the dataset shift problem in software engineering prediction models
inferredcites →https://doi.org/10.1007/s10664-016-9468-yopenalex-snapshot
Global vs. local models for cross-project defect prediction
inferredcites →https://doi.org/10.1007/s10664-018-9633-6openalex-snapshot
On the relative value of data resampling approaches for software defect prediction
inferredcites →https://doi.org/10.1007/s10664-019-09777-8openalex-snapshot
Cross-version defect prediction: use historical data, cross-project data, or both?
inferredcites →https://doi.org/10.1007/s11219-020-09515-0openalex-snapshot
A public unified bug dataset for java and its assessment regarding metrics and bug prediction
inferredcites →https://doi.org/10.1007/s11390-019-1959-zopenalex-snapshot
Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.infsof.2011.09.007openalex-snapshot
Transfer learning for cross-company software defect prediction
inferredcites →https://doi.org/10.1016/j.infsof.2017.09.004openalex-snapshot
A systematic review of requirements change management
inferredcites →https://doi.org/10.1016/j.infsof.2018.11.005openalex-snapshot
A two-phase transfer learning model for cross-project defect prediction
inferredcites →https://doi.org/10.1016/j.infsof.2020.106287openalex-snapshot
A systematic review of unsupervised learning techniques for software defect prediction
inferredcites →https://doi.org/10.1016/j.infsof.2021.106664openalex-snapshot
The impact of using biased performance metrics on software defect prediction research
inferredcites →https://doi.org/10.1016/j.ins.2019.11.004openalex-snapshot
Data imbalance in classification: Experimental evaluation
inferredcites →https://doi.org/10.1016/j.jss.2012.12.052openalex-snapshot
An exploration of technical debt
inferredcites →https://doi.org/10.1016/j.jss.2019.03.027openalex-snapshot
TSTSS: A two-stage training subset selection framework for cross version defect prediction
inferredcites →https://doi.org/10.1016/j.jss.2020.110585openalex-snapshot
Automated defect identification via path analysis-based features with transfer learning
inferredcites →https://doi.org/10.1016/j.neucom.2018.12.091openalex-snapshot
Collective transfer learning for defect prediction
inferredcites →https://doi.org/10.1016/j.patcog.2019.02.023openalex-snapshot
The impact of class imbalance in classification performance metrics based on the binary confusion matrix
inferredcites →https://doi.org/10.1016/s0895-4356(96)00236-3openalex-snapshot
A simulation study of the number of events per variable in logistic regression analysis
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1037/0033-2909.112.1.155openalex-snapshot
A power primer.
inferredcites →https://doi.org/10.1049/iet-sen.2017.0148openalex-snapshot
Progress on approaches to software defect prediction
inferredcites →https://doi.org/10.1049/iet-sen.2018.5193openalex-snapshot
Systematic literature review of preprocessing techniques for imbalanced data
inferredcites →https://doi.org/10.1080/00401706.1979.10489751openalex-snapshot
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
inferredcites →https://doi.org/10.1080/03610927508827232openalex-snapshot
Ridge regression:some simulations
inferredcites →https://doi.org/10.1080/03610927608827353openalex-snapshot
A simulation study of ridge and other regression estimators
inferredcites →https://doi.org/10.1109/acit-csi37837.2015openalex-snapshot
2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence
inferredcites →https://doi.org/10.1109/cec48606.2020openalex-snapshot
2020 IEEE Congress on Evolutionary Computation (CEC)
inferredcites →https://doi.org/10.1109/csmr-wcre32813.2014openalex-snapshot
2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)
inferredcites →https://doi.org/10.1109/icse.2004openalex-snapshot
Proceedings. 26th International Conference on Software Engineering
inferredcites →https://doi.org/10.1109/icse16749.2013openalex-snapshot
2013 35th International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/icse34976.2017openalex-snapshot
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/icsea13169.2007openalex-snapshot
International Conference on Software Engineering Advances (ICSEA 2007)
inferredcites →https://doi.org/10.1109/iske41214.2017openalex-snapshot
2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
inferredcites →https://doi.org/10.1109/issre15935.2009openalex-snapshot
2009 20th International Symposium on Software Reliability Engineering
inferredcites →https://doi.org/10.1109/issre33786.2014openalex-snapshot
2014 IEEE 25th International Symposium on Software Reliability Engineering
inferredcites →https://doi.org/10.1109/ms.2018.2883354openalex-snapshot
Software Verification and Validation Technologies and Tools
inferredcites →https://doi.org/10.1109/qrs41571.2017openalex-snapshot
2017 IEEE International Conference on Software Quality, Reliability and Security (QRS)
inferredcites →https://doi.org/10.1109/saner43005.2018openalex-snapshot
2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tr.2014.2370891openalex-snapshot
A Learning-to-Rank Approach to Software Defect Prediction
inferredcites →https://doi.org/10.1109/tr.2018.2804922openalex-snapshot
Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach
inferredcites →https://doi.org/10.1109/tr.2018.2847353openalex-snapshot
Ridge and Lasso Regression Models for Cross-Version Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2007.256941openalex-snapshot
Data Mining Static Code Attributes to Learn Defect Predictors
inferredcites →https://doi.org/10.1109/tse.2011.103openalex-snapshot
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
inferredcites →https://doi.org/10.1109/tse.2016.2584050openalex-snapshot
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
inferredcites →https://doi.org/10.1109/tse.2017.2658573openalex-snapshot
Empirical Evaluation of the Impact of Object-Oriented Code Refactoring on Quality Attributes: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/tse.2017.2720603openalex-snapshot
Heterogeneous Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2017.2724538openalex-snapshot
A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches
inferredcites →https://doi.org/10.1109/tse.2017.2770124openalex-snapshot
A Systematic Literature Review and Meta-Analysis on Cross Project Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2018.2794977openalex-snapshot
The Impact of Automated Parameter Optimization on Defect Prediction Models
inferredcites →https://doi.org/10.1109/tse.2018.2876537openalex-snapshot
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models
inferredcites →https://doi.org/10.1109/tse.2018.2880977openalex-snapshot
A Systematic Literature Review on Bad Smells–5 W's: Which, When, What, Who, Where
inferredcites →https://doi.org/10.1109/tse.2018.2881961openalex-snapshot
Automatic Feature Learning for Predicting Vulnerable Software Components
inferredcites →https://doi.org/10.1109/tse.2019.2891758openalex-snapshot
The Impact of Correlated Metrics on the Interpretation of Defect Models
inferredcites →https://doi.org/10.1109/tse.2020.2968520openalex-snapshot
An Empirical Study on Heterogeneous Defect Prediction Approaches
inferredcites →https://doi.org/10.1111/exsy.12977openalex-snapshot
Eliminating the high false‐positive rate in defect prediction through BayesNet with adjustable weight
inferredcites →https://doi.org/10.1145/1370788.1370794openalex-snapshot
Adapting a fault prediction model to allow inter languagereuse
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/1868328openalex-snapshot
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
inferredcites →https://doi.org/10.1145/2499393openalex-snapshot
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
inferredcites →https://doi.org/10.1145/2786805openalex-snapshot
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/2810146openalex-snapshot
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering
inferredcites →https://doi.org/10.1145/3127005openalex-snapshot
Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering
inferredcites →https://doi.org/10.1145/3180374openalex-snapshot
Proceedings of the 2018 2nd International Conference on Management Engineering, Software Engineering and Service Sciences
inferredcites →https://doi.org/10.1145/3196321openalex-snapshot
Proceedings of the 26th Conference on Program Comprehension
inferredcites →https://doi.org/10.1145/3243652openalex-snapshot
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1145/3319008openalex-snapshot
Proceedings of the Evaluation and Assessment on Software Engineering
inferredcites →https://doi.org/10.1145/3360309openalex-snapshot
Transfer Learning with Dynamic Distribution Adaptation
inferredcites →https://doi.org/10.1177/0962280214558972openalex-snapshot
Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models
inferredcites →https://doi.org/10.1201/b17320?locatt=mode:legacyopenalex-snapshot
Data Classification: Algorithms and Applications
inferredcites →https://doi.org/10.1371/journal.pcbi.1004668openalex-snapshot
A Quick Introduction to Version Control with Git and GitHub
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1405.0773openalex-snapshot
Simplification of Training Data for Cross-Project Defect Prediction
inferredcites →https://doi.org/10.48550/arxiv.1904.05046openalex-snapshot
Generalizing from a Few Examples: A Survey on Few-Shot Learning
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/smr.2625openalex-snapshot
Evolutionary measures and their correlations with the performance of cross‐version defect prediction for object‐oriented projects
inferred← citeshttps://doi.org/10.1002/smr.2634openalex-snapshot
Mutation‐based data augmentation for software defect prediction
inferred← citeshttps://doi.org/10.1007/s11219-025-09739-yopenalex-snapshot
MCOT-KB: Multi-source cross-project defect prediction with optimal transport domain adaptation and KMMBagging
inferred← citeshttps://doi.org/10.1007/s11219-026-09755-6openalex-snapshot
Multimodal Path Semantics and Contrastive Domain Adaptation for Cross-Domain Defect Pattern Prediction
inferred← citeshttps://doi.org/10.1007/s11390-023-2878-6openalex-snapshot
SAGA: Summarization-Guided Assert Statement Generation
inferred← citeshttps://doi.org/10.1016/j.array.2026.101239openalex-snapshot
A novel cross version software defect prediction method based on adversarial validation strategy
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110941openalex-snapshot
A multi-objective effort-aware defect prediction approach based on NSGA-II
inferred← citeshttps://doi.org/10.1016/j.infsof.2022.107057openalex-snapshot
Software defect prediction with semantic and structural information of codes based on Graph Neural Networks
inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107250openalex-snapshot
Improving effort-aware defect prediction by directly learning to rank software modules
inferred← citeshttps://doi.org/10.1016/j.scico.2026.103449openalex-snapshot
Has cross-project defect prediction truly progressed? A five-year field diagnosis challenging the state-of-the-art
inferred← citeshttps://doi.org/10.1109/tsusc.2023.3248965openalex-snapshot
Defect Prediction via Tree-Based Encoding with Hybrid Granularity for Software Sustainability
inferred← citeshttps://doi.org/10.1142/s0218194024500165openalex-snapshot
A Cross-Project Defect Prediction Approach Based on Code Semantics and Cross-Version Structural Information
inferred← citeshttps://doi.org/10.1142/s0218194024500414openalex-snapshot
An Empirical Study of the Impact of Class Overlap on the Performance and Interpretability of Cross-Version Defect Prediction
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