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Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

https://doi.org/10.1007/s10664-021-10092-4
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What this work says

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

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LINKSTER
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Don't touch my code!
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ReLink
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4176728openalex-extracted
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inferred← citeshttps://doi.org/10.1002/smr.2715openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/smr.70155openalex-snapshot
Enhancing Feature Quality in JIT‐SDP: An Empirical Study of Branch Dependency Mining
inferred← citeshttps://doi.org/10.1002/stvr.1874openalex-snapshot
A new perspective on the competent programmer hypothesis through the reproduction of real faults with repeated mutations
inferred← citeshttps://doi.org/10.1007/978-3-031-44412-8openalex-snapshot
Ernst Denert Award for Software Engineering 2022
inferred← citeshttps://doi.org/10.1007/978-3-031-44412-8_6openalex-snapshot
Usefulness of Automatic Static Analysis Tools: Evidence from Four Case Studies
inferred← citeshttps://doi.org/10.1007/978-3-031-61753-9_7openalex-snapshot
On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-70018-7_21openalex-snapshot
Comparative Analysis of Large Language Models in Source Code Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-19050-5_16openalex-snapshot
Improved Software Defect Prediction by Combining Natural Language-Based Features from Comments with Conceptual Features Extracted from the Source Code
inferred← citeshttps://doi.org/10.1007/978-3-032-19050-5_20openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10515-024-00454-9openalex-snapshot
Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction
inferred← citeshttps://doi.org/10.1007/s10664-022-10224-4openalex-snapshot
Exploring the relationship between performance metrics and cost saving potential of defect prediction models
inferred← citeshttps://doi.org/10.1007/s10664-022-10257-9openalex-snapshot
What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes
inferred← citeshttps://doi.org/10.1007/s10664-023-10301-2openalex-snapshot
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects
inferred← citeshttps://doi.org/10.1007/s10664-023-10341-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-024-10469-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-024-10511-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-024-10551-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-025-10742-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11219-023-09656-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44427-026-00038-3openalex-snapshot
ET-SDP: Enhancing Code Embeddings with Effort-Related and Test Coverage Metrics for Improved Software Defect Prediction
inferred← citeshttps://doi.org/10.1016/j.infsof.2022.107102openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2022.111458openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2023.111729openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2023.111853openalex-snapshot
Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111914openalex-snapshot
Commit-time defect prediction using one-class classification
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112360openalex-snapshot
Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.149openalex-snapshot
A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers
inferred← citeshttps://doi.org/10.1016/j.procs.2025.09.426openalex-snapshot
FS-iSDP: A few-shot learning approach using siamese networks for interpretable software defect prediction
inferred← citeshttps://doi.org/10.1016/j.scico.2024.103164openalex-snapshot
Towards a framework for reliable performance evaluation in defect prediction
inferred← citeshttps://doi.org/10.1109/access.2022.3181995openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3537658openalex-snapshot
A Novel Ensemble Classifier Selection Method for Software Defect Prediction
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00026openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsme58846.2023.00018openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsme58846.2023.00061openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icst53961.2022.00043openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/msr59073.2023.00040openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/msr66628.2025.00034openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/qrs57517.2022.00028openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/scam55253.2022.00012openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342537openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tse.2022.3178469openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tse.2024.3406718openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tse.2025.3537406openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tse.2025.3539566openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3611643.3616307openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3643991.3644919openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3663529.3663797openalex-snapshot
MineCPP: Mining Bug Fix Pairs and Their Structures
inferred← citeshttps://doi.org/10.1145/3674730openalex-snapshot
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models
inferred← citeshttps://doi.org/10.1145/3756681.3757037openalex-snapshot
Co-Change Graph Entropy: A New Process Metric for Defect Prediction
inferred← citeshttps://doi.org/10.1145/3774748.3795652openalex-snapshot
Towards Automatic Software Faults Analysis
inferred← citeshttps://doi.org/10.1145/3779653openalex-snapshot
Just-in-Time Quality Assurance with Assistance of Automated Defect Prediction and Code Testing
inferred← citeshttps://doi.org/10.1145/3808179openalex-snapshot
ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10975428/v1openalex-snapshot
Project-Aware Validation in Software Defect Prediction: A Controlled Simulation and Real-World Benchmark Study of Evaluation Optimism
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9846265/v1openalex-snapshot
Quantifying SZZ-Induced Evaluation Bias in Just-in-Time Defect Prediction
inferred← citeshttps://doi.org/10.33166/aetic.2025.02.005openalex-snapshot
Investigation into the Integration of Intranet and Extranet Data in Data Centers
inferred← citeshttps://doi.org/10.48550/arxiv.2304.06367openalex-snapshot
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