SATD detector: a text-mining-based self-admitted technical debt detection tool. Liu, Z., Huang, Q., Xia, X., Shihab, E., Lo, D., & Li, S. In Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, ICSE 2018, Gothenburg, Sweden, May 27 - June 03, 2018, pages 9–12, 2018.
Paper doi bibtex @inproceedings{DBLP:conf/icse/LiuHXSLL18,
author = {Zhongxin Liu and
Qiao Huang and
Xin Xia and
Emad Shihab and
David Lo and
Shanping Li},
title = {{SATD} detector: a text-mining-based self-admitted technical debt
detection tool},
booktitle = {Proceedings of the 40th International Conference on Software Engineering:
Companion Proceeedings, {ICSE} 2018, Gothenburg, Sweden, May 27 -
June 03, 2018},
pages = {9--12},
year = {2018},
crossref = {DBLP:conf/icse/2018c},
url = {https://doi.org/10.1145/3183440.3183478},
doi = {10.1145/3183440.3183478},
timestamp = {Wed, 21 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/bib/conf/icse/LiuHXSLL18},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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