Using Analytics to Quantify Interest of Self-Admitted Technical Debt

Yasutaka Kamei, Everton da S. Maldonado, Emad Shihab, Naoyasu Ubayashi. Using Analytics to Quantify Interest of Self-Admitted Technical Debt. In Horst Lichter, Konrad Fögen, Thanwadee Sunetnanta, Toni Anwar, Aiko Yamashita, Leon Moonen, Tom Mens, Amjed Tahir, Ashish Sureka, editors, Joint Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) and 1st International Workshop on Technical Debt Analytics (TDA 2016) co-located with the 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), Hamilton, New Zealand, December 6, 2016. Volume 1771 of CEUR Workshop Proceedings, pages 68-71, CEUR-WS.org, 2016. [doi]

@inproceedings{KameiMSU16,
  title = {Using Analytics to Quantify Interest of Self-Admitted Technical Debt},
  author = {Yasutaka Kamei and Everton da S. Maldonado and Emad Shihab and Naoyasu Ubayashi},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1771/paper11.pdf},
  researchr = {https://researchr.org/publication/KameiMSU16},
  cites = {0},
  citedby = {0},
  pages = {68-71},
  booktitle = {Joint Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) and 1st International Workshop on Technical Debt Analytics (TDA 2016) co-located with the 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), Hamilton, New Zealand, December 6, 2016},
  editor = {Horst Lichter and Konrad Fögen and Thanwadee Sunetnanta and Toni Anwar and Aiko Yamashita and Leon Moonen and Tom Mens and Amjed Tahir and Ashish Sureka},
  volume = {1771},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}