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Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt
IEEE Transactions on Software Engineering, 2017Emad Shihab, Nikolaos Tsantalis
exaly
An Empirical Study on Self-Admitted Technical Debt in Quantum Software
2024 31st Asia-Pacific Software Engineering Conference (APSEC)Yuta Ishimoto +7 more
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An Empirical Study on the Short-Term Self-Admitted Technical Debt
2025 25th International Conference on Software Quality, Reliability and Security (QRS)Qiao Huang +4 more
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Leveraging Context Information for Self-Admitted Technical Debt Detection
2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC)Miki Yonekura +4 more
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A Framework for Self-Admitted Technical Debt Identification and Description.
CoRR, 2020Abdulaziz Alhefdhi +5 more
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Rework Effort Estimation of Self-admitted Technical Debt.
Solomon Mensah +3 moreopenaire +1 more source