Description
This dataset includes a trained weight file for identifying the relations between self-admitted technical debt items.
| Datum van beschikbaarheid | 11-apr.-2023 |
|---|---|
| Uitgever | ZENODO |
Onderzoekersoutput
- 1 Conference contribution
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Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources
Li, Y., Soliman, M. & Avgeriou, P., 10-aug.-2023, Proceedings - 2023 ACM/IEEE International Conference on Technical Debt, TechDebt 2023. IEEE, blz. 11-21 11 blz. (Proceedings - 2023 ACM/IEEE International Conference on Technical Debt, TechDebt 2023).Onderzoeksoutput › Academic › peer review
Open AccessBestand3 Citaten (Scopus)175 Downloads (Pure)
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