%0 Conference Paper %1 conf/sigsoft/OBrienBIASR22 %A O'Brien, David %A Biswas, Sumon %A Imtiaz, Sayem %A Abdalkareem, Rabe %A Shihab, Emad %A Rajan, Hridesh %B ESEC/SIGSOFT FSE %D 2022 %E Roychoudhury, Abhik %E Cadar, Cristian %E Kim, Miryung %I ACM %K dblp %P 734-746 %T 23 shades of self-admitted technical debt: an empirical study on machine learning software. %U http://dblp.uni-trier.de/db/conf/sigsoft/fse2022.html#OBrienBIASR22 %@ 978-1-4503-9413-0

@inproceedings{conf/sigsoft/OBrienBIASR22, added-at = {2022-11-10T00:00:00.000+0100}, author = {O'Brien, David and Biswas, Sumon and Imtiaz, Sayem and Abdalkareem, Rabe and Shihab, Emad and Rajan, Hridesh}, biburl = {https://www.bibsonomy.org/bibtex/29fdcf2408387b1394188eb97727f295e/dblp}, booktitle = {ESEC/SIGSOFT FSE}, crossref = {conf/sigsoft/2022}, editor = {Roychoudhury, Abhik and Cadar, Cristian and Kim, Miryung}, ee = {https://doi.org/10.1145/3540250.3549088}, interhash = {e4d30d5525bd87550a5b24ef38df9333}, intrahash = {9fdcf2408387b1394188eb97727f295e}, isbn = {978-1-4503-9413-0}, keywords = {dblp}, pages = {734-746}, publisher = {ACM}, timestamp = {2024-04-09T17:53:12.000+0200}, title = {23 shades of self-admitted technical debt: an empirical study on machine learning software.}, url = {http://dblp.uni-trier.de/db/conf/sigsoft/fse2022.html#OBrienBIASR22}, year = 2022 }