Automatic Identification of Self-Admitted Technical Debt From Four Different Sources Y Li, M Soliman, P Avgeriou Empirical Software Engineering 28 (3), 65, 2023 | 39 | 2023 |
Identifying Self-Admitted Technical Debt in Issue Tracking Systems Using Machine Learning Y Li, M Soliman, P Avgeriou Empirical Software Engineering 27 (6), 131, 2022 | 38 | 2022 |
Identification and Remediation of Self-Admitted Technical Debt in Issue Trackers Y Li, M Soliman, P Avgeriou 2020 46th Euromicro Conference on Software Engineering and Advanced …, 2020 | 32 | 2020 |
Exploring Web Search Engines to Find Architectural Knowledge M Soliman, M Wiese, Y Li, M Riebisch, P Avgeriou 2021 IEEE 18th International Conference on Software Architecture (ICSA), 162-172, 2021 | 26 | 2021 |
Architectural Design Decisions That Incur Technical Debt - An Industrial Case Study M Soliman, P Avgeriou, Y Li Information and Software Technology 139, 106669, 2021 | 23 | 2021 |
Learning to Grasp 3D Objects Using Deep Residual U-Nets Y Li, L Schomaker, SH Kasaei 2020 29th IEEE International Conference on Robot and Human Interactive …, 2020 | 18 | 2020 |
Self-Admitted Technical Debt in the Embedded Systems Industry: An Exploratory Case Study Y Li, M Soliman, P Avgeriou, L Somers IEEE Transactions on Software Engineering, 2022 | 16 | 2022 |
Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources Y Li, M Soliman, P Avgeriou 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023 | 4 | 2023 |
Debtviz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt Y Li, M Soliman, P Avgeriou, M Van Ittersum 2023 IEEE International Conference on Software Maintenance and Evolution …, 2023 | 1 | 2023 |
Automatically Estimating the Effort Required to Repay Self-Admitted Technical Debt Y Li, M Soliman, P Avgeriou arXiv preprint arXiv:2309.06020, 2023 | 1 | 2023 |
CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics Y Li, T Zhang, R Widyasari, YN Tun, HH Nguyen, T Bui, IC Irsan, Y Cheng, ... arXiv preprint arXiv:2411.17274, 2024 | | 2024 |
Learning to Detect Grasp Affordances of 3D Objects Using Deep Convolutional Neural Networks Y Li University of Groningen, 2019 | | 2019 |