1. SATD Detector: A Text-Mining-Based Self-Admitted Technical Debt Detection Tool;Z Liu;ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion),2018
2. Identification and Remediation of Self-Admitted Technical Debt in Issue Trackers;Y Li;2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA),2020
3. Machine Learning for Technical Debt Identification;D Tsoukalas;IEEE Transactions on Software Engineering,2022
4. The lifecycle of Technical Debt that manifests in both source code and issue trackers;J Tan;Information and Software Technology,2023
5. Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems;L Xavier;2020 IEEE/ACM 17th International Conference on Mining Software Repositories (MSR),2020