Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt. Maldonado, E. d. S., Shihab, E., & Tsantalis, N. IEEE Transactions on Software Engineering, 43(11):1044-1062, November, 2017. Featured article of the November 2017 issue
Paper
Link doi bibtex @article{Maldonado:TSE:2017,
author={Maldonado, Everton da Silva and Shihab, Emad and Tsantalis, Nikolaos},
journal={IEEE Transactions on Software Engineering},
title={Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt},
year={2017},
volume={43},
number={11},
pages={1044-1062},
keywords={Entropy, Java, Manuals, Natural language processing, Software, Structured Query Language, Unified modeling language, Technical debt, empirical study, source code comments},
doi={10.1109/TSE.2017.2654244},
ISSN={0098-5589},
month=nov,
url_Paper ={https://users.encs.concordia.ca/~nikolaos/publications/TSE_2017.pdf},
url_Link ={https://github.com/maldonado/tse.satd.data},
bibbase_note = {<span style="color: blue"><strong>Featured article of the November 2017 issue</strong></span>},
}
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