Curates 341k SATD items from 1k Apache repos, analyzes effort differences by debt type, and shows BERT/TextCNN models predict repayment effort from text better than traditional ML baselines.
Kim, Convolutional neural networks for sentence classification, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pp
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Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
Curates 341k SATD items from 1k Apache repos, analyzes effort differences by debt type, and shows BERT/TextCNN models predict repayment effort from text better than traditional ML baselines.