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.
SATD detector: a text-mining-based self-admitted technical debt detection tool [link]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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