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How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study
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What this work says
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Comparing four approaches for technical debt identification
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.70104openalex-snapshot
Self‐Admitted Technical Debt Detection Approaches: A Decade Systematic Review
inferred← citeshttps://doi.org/10.1007/978-3-031-49269-3_15openalex-snapshot
Utilization of Machine Learning for the Detection of Self-admitted Vulnerabilities
inferred← citeshttps://doi.org/10.1007/978-981-99-8184-7_7openalex-snapshot
Identifying Self-admitted Technical Debt with Context-Based Ladder Network
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Automatic identification of self-admitted technical debt from four different sources
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An empirical study on the effectiveness of large language models for SATD identification and classification
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Negativity in self-admitted technical debt: how sentiment influences prioritization
inferred← citeshttps://doi.org/10.1007/s10664-026-10855-xopenalex-snapshot
PRaFFLineDP: Feature fusion with progressive ranking for efficient line-level defect prediction
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Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks
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Why and how bug blocking relations are breakable: An empirical study on breakable blocking bugs
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Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go?
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112629openalex-snapshot
Leveraging multi-task learning to fine-tune RoBERTa for self-admitted technical debt identification and classification
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113120openalex-snapshot
A first look at the self-admitted technical debt in test code: Taxonomy and detection
inferred← citeshttps://doi.org/10.1080/09540091.2022.2067125openalex-snapshot
Do we need to pay technical debt in blockchain software systems?
inferred← citeshttps://doi.org/10.1109/apsec65559.2024.00022openalex-snapshot
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
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inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00018openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsme58846.2023.00072openalex-snapshot
DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt
inferred← citeshttps://doi.org/10.1109/msr59073.2023.00063openalex-snapshot
PENTACET data - 23 Million Contextual Code Comments and 250,000 SATD comments
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00118openalex-snapshot
Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?
inferred← citeshttps://doi.org/10.1109/saner60148.2024.00087openalex-snapshot
Self-Admitted Technical Debts Identification: How Far Are We?
inferred← citeshttps://doi.org/10.1109/techdebt59074.2023.00009openalex-snapshot
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach
inferred← citeshttps://doi.org/10.1109/techdebt59074.2023.00011openalex-snapshot
Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt
inferred← citeshttps://doi.org/10.1109/tse.2022.3216279openalex-snapshot
Towards the Analysis and Completion of Syntactic Structure Ellipsis for Inline Comments
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Self-Admitted Technical Debt in the Embedded Systems Industry: An Exploratory Case Study
inferred← citeshttps://doi.org/10.1109/tse.2023.3289808openalex-snapshot
Self-Admitted Technical Debt in Ethereum Smart Contracts: A Large-Scale Exploratory Study
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inferred← citeshttps://doi.org/10.1109/tse.2025.3623644openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0218194022500693openalex-snapshot
From SATD Recognition to an Interpretation Method Based on the Dataset
inferred← citeshttps://doi.org/10.1142/s0218194023500602openalex-snapshot
Software Industry Perception of Technical Debt and Its Management
inferred← citeshttps://doi.org/10.1142/s0218194025500238openalex-snapshot
RESEARCH NOTES: Multiclass Classification for Self-Admitted Technical Debt via Large Pre-Trained Language Model
inferred← citeshttps://doi.org/10.1142/s0218194026500531openalex-snapshot
Investigating the Effect of Class Imbalance on the Performance of Self-Admitted Technical Debt Prediction Models
inferred← citeshttps://doi.org/10.1145/3524610.3528387openalex-snapshot
A first look at duplicate and near-duplicate self-admitted technical debt comments
inferred← citeshttps://doi.org/10.1145/3546948openalex-snapshot
Coverage-Based Debloating for Java Bytecode
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inferred← citeshttps://doi.org/10.1145/3707456openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3747180openalex-snapshot
IMPACT: Identifying and Classifying Multiple Sourced and Categorized Self-Admitted Technical Debts
inferred← citeshttps://doi.org/10.1145/3796704openalex-snapshot
A Large-Scale Empirical Evaluation of LLMs for Automated Self-Admitted Technical Debt Repayment
inferred← citeshttps://doi.org/10.2139/ssrn.5963911openalex-snapshot
A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
inferred← citeshttps://doi.org/10.2139/ssrn.6479525openalex-snapshot
A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
inferred← citeshttps://doi.org/10.33612/diss.972242960openalex-snapshot
Management of Self-Admitted Technical Debt using Machine Learning
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